From cd04bc4de5f5d3e3dc9b5c1c70c5f467fc5dd5b5 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:08:17 -0700 Subject: [PATCH 01/62] Play with R --- code/training/r_train.r | 49 ++ code/training/train.py | 1 + code/training/train_with_r.py | 3 + code/training/weight_data.csv | 30 ++ data/diabetes copy copy.csv | 443 +++++++++++++++++++ data/diabetes copy.csv | 443 +++++++++++++++++++ ml_service/pipelines/build_train_pipeline.py | 73 +-- 7 files changed, 1006 insertions(+), 36 deletions(-) create mode 100644 code/training/r_train.r create mode 100644 code/training/train_with_r.py create mode 100644 code/training/weight_data.csv create mode 100644 data/diabetes copy copy.csv create mode 100644 data/diabetes copy.csv diff --git a/code/training/r_train.r b/code/training/r_train.r new file mode 100644 index 00000000..1732a282 --- /dev/null +++ b/code/training/r_train.r @@ -0,0 +1,49 @@ +# Databricks notebook source +print(R.version.string) + +# COMMAND ---------- + +mount_name = "kcmunninstoragev2-databricks" # Change this to the mount name in your Databricks workspace + +# COMMAND ---------- + +# Load Training Data +#path = paste("/dbfs/mnt/",mount_name,"/weight_data.csv",sep="") +path="../../../data/train/weight_data.csv" +print(paste("Reading file from",path)) + +routes<-read.csv(path, header=TRUE) + +# The predictor vector (height). +x <- routes$height +# The response vector (weight). +y <- routes$weight +# Apply the lm() function. +model <- lm(y~x) + +# COMMAND ---------- + +routes + +# COMMAND ---------- + +# Make Predictions +df_test_heights <- data.frame(x = as.numeric(c(115,20))) +result <- predict(model,df_test_heights) +print(result) + +# COMMAND ---------- + +# Save the model to blob storage +#model_path = paste("/dbfs/mnt/",mount_name,"/models/model.rds",sep="") +model_path="model.rds" +saveRDS(model, model_path) + +# COMMAND ---------- + +# View model details +print(model) + +# COMMAND ---------- + +print('Completed') \ No newline at end of file diff --git a/code/training/train.py b/code/training/train.py index 2b541615..bfa25d6e 100644 --- a/code/training/train.py +++ b/code/training/train.py @@ -22,6 +22,7 @@ IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THE SOFTWARE CODE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +Yes """ from azureml.core.run import Run import os diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py new file mode 100644 index 00000000..b51b70bb --- /dev/null +++ b/code/training/train_with_r.py @@ -0,0 +1,3 @@ +import os + +os.system("Rscript r_train.r") diff --git a/code/training/weight_data.csv b/code/training/weight_data.csv new file mode 100644 index 00000000..cc441ee9 --- /dev/null +++ b/code/training/weight_data.csv @@ -0,0 +1,30 @@ +height,weight +79,174 +63,250 +75,223 +75,130 +70,120 +76,239 +63,129 +64,185 +59,246 +80,241 +79,217 +65,212 +74,242 +71,223 +61,167 +78,148 +75,229 +75,116 +75,182 +72,237 +72,160 +79,169 +67,219 +61,202 +65,168 +79,181 +81,214 +78,216 +59,245 diff --git a/data/diabetes copy copy.csv b/data/diabetes copy copy.csv new file mode 100644 index 00000000..162002a7 --- /dev/null +++ b/data/diabetes copy copy.csv @@ -0,0 +1,443 @@ +AGE,SEX,BMI,BP,S1,S2,S3,S4,S5,S6,Y +0.0380759064334241,0.0506801187398187,0.0616962065186885,0.0218723549949558,-0.0442234984244464,-0.0348207628376986,-0.0434008456520269,-0.00259226199818282,0.0199084208763183,-0.0176461251598052,151.0 +-0.001882016527791,-0.044641636506989,-0.0514740612388061,-0.0263278347173518,-0.00844872411121698,-0.019163339748222,0.0744115640787594,-0.0394933828740919,-0.0683297436244215,-0.09220404962683,75.0 +0.0852989062966783,0.0506801187398187,0.0444512133365941,-0.00567061055493425,-0.0455994512826475,-0.0341944659141195,-0.0323559322397657,-0.00259226199818282,0.00286377051894013,-0.0259303389894746,141.0 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+0.0417084448844436,0.0506801187398187,-0.0159062628007364,0.0172818607481171,-0.0373437341334407,-0.0138398158977999,-0.0249926566315915,-0.0110795197996419,-0.0468794828442166,0.0154907301588724,132.0 +-0.0454724779400257,-0.044641636506989,0.0390621529671896,0.00121513083253827,0.0163184273364034,0.0152829910486266,-0.0286742944356786,0.0265596234937854,0.0445283740214053,-0.0259303389894746,220.0 +-0.0454724779400257,-0.044641636506989,-0.0730303027164241,-0.081413765817132,0.0837401173882587,0.0278089295202079,0.17381578478911,-0.0394933828740919,-0.00421985970694603,0.00306440941436832,57.0 diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index a294a1c0..4f16ebbe 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -64,9 +64,9 @@ def main(): train_step = PythonScriptStep( name="Train Model", - script_name=train_script_path, + script_name="train_with_r.py", compute_target=aml_compute_cpu, - source_directory=sources_directory_train, + source_directory="code/training", arguments=[ "--config_suffix", config_suffix, "--json_config", jsonconfigs, @@ -79,42 +79,43 @@ def main(): ) print("Step Train created") - evaluate_step = PythonScriptStep( - name="Evaluate Model ", - script_name=evaluate_script_path, - compute_target=aml_compute_cpu, - source_directory=sources_directory_train, - arguments=[ - "--config_suffix", config_suffix, - "--json_config", jsonconfigs, - ], - runconfig=run_config, - inputs=[jsonconfigs], - # outputs=[jsonconfigs], - allow_reuse=False, - ) - print("Step Evaluate created") + # evaluate_step = PythonScriptStep( + # name="Evaluate Model ", + # script_name=evaluate_script_path, + # compute_target=aml_compute_cpu, + # source_directory=sources_directory_train, + # arguments=[ + # "--config_suffix", config_suffix, + # "--json_config", jsonconfigs, + # ], + # runconfig=run_config, + # inputs=[jsonconfigs], + # # outputs=[jsonconfigs], + # allow_reuse=False, + # ) + # print("Step Evaluate created") - register_model_step = PythonScriptStep( - name="Register New Trained Model", - script_name=register_script_path, - compute_target=aml_compute_cpu, - source_directory=sources_directory_train, - arguments=[ - "--config_suffix", config_suffix, - "--json_config", jsonconfigs, - "--model_name", model_name, - ], - runconfig=run_config, - inputs=[jsonconfigs], - # outputs=[jsonconfigs], - allow_reuse=False, - ) - print("Step register model created") + # register_model_step = PythonScriptStep( + # name="Register New Trained Model", + # script_name=register_script_path, + # compute_target=aml_compute_cpu, + # source_directory=sources_directory_train, + # arguments=[ + # "--config_suffix", config_suffix, + # "--json_config", jsonconfigs, + # "--model_name", model_name, + # ], + # runconfig=run_config, + # inputs=[jsonconfigs], + # # outputs=[jsonconfigs], + # allow_reuse=False, + # ) + # print("Step register model created") - evaluate_step.run_after(train_step) - register_model_step.run_after(evaluate_step) - steps = [register_model_step] + # evaluate_step.run_after(train_step) + # register_model_step.run_after(evaluate_step) + # steps = [register_model_step] + steps = [train_step] train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) train_pipeline.validate() From 4abce3c7ce3d2c867dbf9cfb268093d8ccb7cdcb Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:11:23 -0700 Subject: [PATCH 02/62] playing with r --- .pipelines/azdo-ci-build-train.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index 09f90909..c80bd973 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -16,6 +16,7 @@ variables: steps: - template: azdo-base-pipeline.yml + enabled: 'false' - bash: | # Invoke the Python building and publishing a training pipeline From 45a30d3d7287931f0311a9d1cf6fb060b2db0ae4 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:12:17 -0700 Subject: [PATCH 03/62] play with r --- .pipelines/azdo-ci-build-train.yml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index c80bd973..849cffff 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -15,8 +15,6 @@ variables: steps: -- template: azdo-base-pipeline.yml - enabled: 'false' - bash: | # Invoke the Python building and publishing a training pipeline From 938097dcdca40f6585ce1f95ce3bdd3108ca059b Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:22:27 -0700 Subject: [PATCH 04/62] playing with r --- ml_service/pipelines/build_train_pipeline.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index dead417d..960ccc51 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -61,11 +61,10 @@ def main(): release_id = PipelineParameter( name="release_id", default_value="0" ) - - train_step = PythonScriptStep( + train_step = PythonScriptStep( name="Train Model", script_name="train_with_r.py", - compute_target=aml_compute_cpu, + compute_target=aml_compute, source_directory="code/training", arguments=[ "--release_id", release_id, From 43c397b301603182101f0b85cad90d6cc7acc5a1 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:22:46 -0700 Subject: [PATCH 05/62] playing with r --- ml_service/pipelines/build_train_pipeline.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 960ccc51..760b3ca6 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -61,7 +61,8 @@ def main(): release_id = PipelineParameter( name="release_id", default_value="0" ) - train_step = PythonScriptStep( + + train_step = PythonScriptStep( name="Train Model", script_name="train_with_r.py", compute_target=aml_compute, From c2f61183aa6b19c5f434d88bc2c5a9b53154428b Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:37:17 -0700 Subject: [PATCH 06/62] playing with R --- code/training/train_with_r.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index b51b70bb..8fdb6938 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -1,3 +1,4 @@ import os -os.system("Rscript r_train.r") +#os.system("Rscript r_train.r") +os.system("whereis R") From 20a6a4681ca3b95a28c1eff591dcd807fa9fceac Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 16:47:16 -0700 Subject: [PATCH 07/62] playing with r --- ml_service/pipelines/build_train_pipeline.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 760b3ca6..7631fe25 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -42,7 +42,7 @@ def main(): # Get Azure machine learning cluster aml_compute = get_compute( aml_workspace, - compute_name, + "rmlcompute", vm_size) if aml_compute is not None: print(aml_compute) From cbfc882f2c102a5fbb75d92afe9690fa54b016a6 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:04:51 -0700 Subject: [PATCH 08/62] playing with R --- ml_service/pipelines/build_train_pipeline.py | 1 + 1 file changed, 1 insertion(+) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 7631fe25..0168aea5 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -55,6 +55,7 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True + run_config.environment.docker.base_image = "viennaglobal.azurecr.io/azureml/azureml_815b69edf6f69fd219e83bb7fe436fe7" model_name = PipelineParameter( name="model_name", default_value=model_name) From ba21e29fa857b1955bbbb5cb033fae8126c14d3e Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:05:20 -0700 Subject: [PATCH 09/62] playing with R --- code/training/train_with_r.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 8fdb6938..dbda7745 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -1,4 +1,4 @@ import os -#os.system("Rscript r_train.r") os.system("whereis R") +os.system("Rscript r_train.r") From f1f7739d0104324e4b4247fa770b0acea1b04825 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:10:40 -0700 Subject: [PATCH 10/62] playing with r --- ml_service/pipelines/build_train_pipeline.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 0168aea5..f7b5684d 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -55,7 +55,7 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True - run_config.environment.docker.base_image = "viennaglobal.azurecr.io/azureml/azureml_815b69edf6f69fd219e83bb7fe436fe7" + run_config.environment.docker.base_image = "rimage:latest" model_name = PipelineParameter( name="model_name", default_value=model_name) From 4395651900aaef539a8aab566dee1c9ddddbf482 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:17:47 -0700 Subject: [PATCH 11/62] playing with docker --- ml_service/pipelines/build_train_pipeline.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index f7b5684d..244f4c31 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -55,7 +55,7 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True - run_config.environment.docker.base_image = "rimage:latest" + run_config.environment.docker.base_image = "eugenefedorenko/rimage:latest" model_name = PipelineParameter( name="model_name", default_value=model_name) From 762d9fd0ceba51af61a5e0b25a6530fc1fc7a4f4 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:33:09 -0700 Subject: [PATCH 12/62] Playing with R --- code/training/r_train.r | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/code/training/r_train.r b/code/training/r_train.r index 1732a282..a928aa12 100644 --- a/code/training/r_train.r +++ b/code/training/r_train.r @@ -9,7 +9,7 @@ mount_name = "kcmunninstoragev2-databricks" # Change this to the mount name in y # Load Training Data #path = paste("/dbfs/mnt/",mount_name,"/weight_data.csv",sep="") -path="../../../data/train/weight_data.csv" +path="weight_data.csv" print(paste("Reading file from",path)) routes<-read.csv(path, header=TRUE) From 2c406fc5cfd071684a30eacb45daad83fdf1495c Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 24 Sep 2019 17:47:58 -0700 Subject: [PATCH 13/62] Playing with R --- code/training/train_with_r.py | 1 - 1 file changed, 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index dbda7745..b51b70bb 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -1,4 +1,3 @@ import os -os.system("whereis R") os.system("Rscript r_train.r") From ed848115da69fd4e5ab577e978887a6a07d5b5ad Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 12:20:23 -0700 Subject: [PATCH 14/62] run R on Databricks --- ml_service/pipelines/build_train_pipeline.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 244f4c31..2184a4c6 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -42,7 +42,7 @@ def main(): # Get Azure machine learning cluster aml_compute = get_compute( aml_workspace, - "rmlcompute", + "rdatabricks", vm_size) if aml_compute is not None: print(aml_compute) From 05ab714e106e800afa7e6205f3894115311ae7df Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 13:51:48 -0700 Subject: [PATCH 15/62] Playing with R --- ml_service/pipelines/build_train_pipeline.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 2184a4c6..244f4c31 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -42,7 +42,7 @@ def main(): # Get Azure machine learning cluster aml_compute = get_compute( aml_workspace, - "rdatabricks", + "rmlcompute", vm_size) if aml_compute is not None: print(aml_compute) From 3ef020d0545c45c5a055d9c5f6bef556222f9418 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 13:56:03 -0700 Subject: [PATCH 16/62] Play with R on Databricks --- ml_service/pipelines/build_train_pipeline.py | 30 ++++++++++++++------ 1 file changed, 21 insertions(+), 9 deletions(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 244f4c31..7e69ad52 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -63,18 +63,30 @@ def main(): name="release_id", default_value="0" ) - train_step = PythonScriptStep( - name="Train Model", - script_name="train_with_r.py", - compute_target=aml_compute, + train_step = DatabricksStep( + name="DBPythonInLocalMachine", + num_workers=1, + python_script_name="train_with_r.py", source_directory="code/training", - arguments=[ - "--release_id", release_id, - "--model_name", model_name, - ], - runconfig=run_config, + run_name='DB_Python_Local_demo', + existing_cluster_id=cluster_id, + compute_target=aml_compute, allow_reuse=False, + python_script_params=['--MODEL_PATH', model_path] ) + + # train_step = PythonScriptStep( + # name="Train Model", + # script_name="train_with_r.py", + # compute_target=aml_compute, + # source_directory="code/training", + # arguments=[ + # "--release_id", release_id, + # "--model_name", model_name, + # ], + # runconfig=run_config, + # allow_reuse=False, + # ) print("Step Train created") # evaluate_step = PythonScriptStep( From 727c5cf2d8dd406d2f4e2a01569cc0371d1bfc88 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 14:01:25 -0700 Subject: [PATCH 17/62] Playing with R --- ml_service/pipelines/build_train_pipeline.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 7e69ad52..4979e56b 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -9,6 +9,7 @@ sys.path.append(os.path.abspath("./ml_service/util")) # NOQA: E402 from workspace import get_workspace from attach_compute import get_compute +from azureml.pipeline.steps import DatabricksStep def main(): @@ -42,7 +43,7 @@ def main(): # Get Azure machine learning cluster aml_compute = get_compute( aml_workspace, - "rmlcompute", + "databricks", vm_size) if aml_compute is not None: print(aml_compute) From 1abbef891a025eace32fd20d675e569d388b4e7e Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 14:12:54 -0700 Subject: [PATCH 18/62] playing with R --- ml_service/pipelines/build_train_pipeline.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 4979e56b..91444aee 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -70,10 +70,10 @@ def main(): python_script_name="train_with_r.py", source_directory="code/training", run_name='DB_Python_Local_demo', - existing_cluster_id=cluster_id, + existing_cluster_id="0925-210443-edge340", compute_target=aml_compute, allow_reuse=False, - python_script_params=['--MODEL_PATH', model_path] + python_script_params=['--model_name', model_name] ) # train_step = PythonScriptStep( From 57d6f998da3c529029f50253185c15a4e2b2da85 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 14:49:11 -0700 Subject: [PATCH 19/62] playing with R --- code/training/train_with_r.py | 1 + 1 file changed, 1 insertion(+) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index b51b70bb..060fc906 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -1,3 +1,4 @@ import os os.system("Rscript r_train.r") +os.system("ls -ltr") From fd6ebe798e4b65723d6ab8c8e9b817aded2f559f Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 14:56:18 -0700 Subject: [PATCH 20/62] playing with r --- code/training/train_with_r.py | 1 + 1 file changed, 1 insertion(+) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 060fc906..d48910bd 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -2,3 +2,4 @@ os.system("Rscript r_train.r") os.system("ls -ltr") +os.system("find / -name 'r_train.r'") \ No newline at end of file From fbabebf9f987d838d26ce601a8fcd3fce4434066 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 15:09:25 -0700 Subject: [PATCH 21/62] play with R --- code/training/train_with_r.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index d48910bd..a03c4f7e 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -2,4 +2,5 @@ os.system("Rscript r_train.r") os.system("ls -ltr") -os.system("find / -name 'r_train.r'") \ No newline at end of file +os.system("pwd") +os.system("env") \ No newline at end of file From a01de6cde233db8ffed8c8194b57d59ce21b62b0 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 15:27:09 -0700 Subject: [PATCH 22/62] play with R --- code/training/train_with_r.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index a03c4f7e..167fbc8e 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -3,4 +3,9 @@ os.system("Rscript r_train.r") os.system("ls -ltr") os.system("pwd") -os.system("env") \ No newline at end of file +os.system("env") +os.system("ls -ltr /local_disk0") +os.system("ls -ltr /local_disk0/tmp") +os.system("ls -ltr /databricks") +os.system("ls -ltr /databricks/spark") +os.system("ls -ltr /databricks/spark/python") \ No newline at end of file From ddf0399ab466b7ef37cca90f348d07126e0adf00 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 15:37:09 -0700 Subject: [PATCH 23/62] play with R --- code/training/train_with_r.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 167fbc8e..4e3f063b 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -8,4 +8,6 @@ os.system("ls -ltr /local_disk0/tmp") os.system("ls -ltr /databricks") os.system("ls -ltr /databricks/spark") -os.system("ls -ltr /databricks/spark/python") \ No newline at end of file +os.system("ls -ltr /databricks/spark/scripts") +os.system("ls -ltr /databricks/spark/python") +os.system("find /databricks -name 'train_with_r.py'") \ No newline at end of file From 61d455e1fbe8db0adfd4c6c4f61c67d69d5adecf Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 15:47:46 -0700 Subject: [PATCH 24/62] play with R --- code/training/train_with_r.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 4e3f063b..b96abf27 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -10,4 +10,4 @@ os.system("ls -ltr /databricks/spark") os.system("ls -ltr /databricks/spark/scripts") os.system("ls -ltr /databricks/spark/python") -os.system("find /databricks -name 'train_with_r.py'") \ No newline at end of file +os.system("whereis train_with_r.py") \ No newline at end of file From 43507853bcb8ef0dd0f26a729d1d49e07e93ba92 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 15:59:09 -0700 Subject: [PATCH 25/62] play with R --- code/training/train_with_r.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index b96abf27..dcb3058b 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -10,4 +10,5 @@ os.system("ls -ltr /databricks/spark") os.system("ls -ltr /databricks/spark/scripts") os.system("ls -ltr /databricks/spark/python") -os.system("whereis train_with_r.py") \ No newline at end of file +os.system("whereis train_with_r.py") +os.system("ls -ltr dbfs/143eb546-b32d-4e42-8194-f43c9d9f9e5f") \ No newline at end of file From df93cd0d6127109ad4093339bc9a856c4bf5820a Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 16:10:27 -0700 Subject: [PATCH 26/62] play with R --- code/training/train_with_r.py | 18 +++++++++++++++--- 1 file changed, 15 insertions(+), 3 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index dcb3058b..fbcaa51f 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -1,7 +1,18 @@ import os +import argparse -os.system("Rscript r_train.r") -os.system("ls -ltr") +parser = argparse.ArgumentParser("train") +parser.add_argument( + "--AZUREML_SCRIPT_DIRECTORY_NAME", + type=str, + help="folder", +) + +args = parser.parse_args() +folder = args.AZUREML_SCRIPT_DIRECTORY_NAME + +os.system("Rscript "+folder+"/r_train.r") +os.system("ls -ltr "+folder) os.system("pwd") os.system("env") os.system("ls -ltr /local_disk0") @@ -11,4 +22,5 @@ os.system("ls -ltr /databricks/spark/scripts") os.system("ls -ltr /databricks/spark/python") os.system("whereis train_with_r.py") -os.system("ls -ltr dbfs/143eb546-b32d-4e42-8194-f43c9d9f9e5f") \ No newline at end of file +os.system("ls -ltr dbfs/143eb546-b32d-4e42-8194-f43c9d9f9e5f") +--AZUREML_SCRIPT_DIRECTORY_NAME \ No newline at end of file From 43b8f6c4b5bd74753ea4b47f44f6c3e884922b97 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 16:17:47 -0700 Subject: [PATCH 27/62] play with R --- code/training/train_with_r.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index fbcaa51f..9853b7fc 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -8,7 +8,7 @@ help="folder", ) -args = parser.parse_args() +args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME os.system("Rscript "+folder+"/r_train.r") @@ -21,6 +21,5 @@ os.system("ls -ltr /databricks/spark") os.system("ls -ltr /databricks/spark/scripts") os.system("ls -ltr /databricks/spark/python") -os.system("whereis train_with_r.py") -os.system("ls -ltr dbfs/143eb546-b32d-4e42-8194-f43c9d9f9e5f") ---AZUREML_SCRIPT_DIRECTORY_NAME \ No newline at end of file + + From 2f3f90e0928f300f1b781bbeaafa43217296333c Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 16:26:49 -0700 Subject: [PATCH 28/62] playing with R --- code/training/train_with_r.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 9853b7fc..08211d42 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,8 +11,8 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("Rscript "+folder+"/r_train.r") -os.system("ls -ltr "+folder) +os.system("Rscript "+"dbfs:/"+folder+"/r_train.r") +os.system("ls -ltr "+"dbfs:/"+folder) os.system("pwd") os.system("env") os.system("ls -ltr /local_disk0") From 5c13088f8c82bb448e232722ff1be4e88bd14bb3 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 16:33:33 -0700 Subject: [PATCH 29/62] play with R --- code/training/train_with_r.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 08211d42..deccd66d 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,15 +11,15 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("Rscript "+"dbfs:/"+folder+"/r_train.r") +#os.system("Rscript "+"dbfs:/"+folder+"/r_train.r") os.system("ls -ltr "+"dbfs:/"+folder) -os.system("pwd") -os.system("env") -os.system("ls -ltr /local_disk0") -os.system("ls -ltr /local_disk0/tmp") -os.system("ls -ltr /databricks") -os.system("ls -ltr /databricks/spark") -os.system("ls -ltr /databricks/spark/scripts") -os.system("ls -ltr /databricks/spark/python") +# os.system("pwd") +# os.system("env") +# os.system("ls -ltr /local_disk0") +# os.system("ls -ltr /local_disk0/tmp") +# os.system("ls -ltr /databricks") +# os.system("ls -ltr /databricks/spark") +# os.system("ls -ltr /databricks/spark/scripts") +# os.system("ls -ltr /databricks/spark/python") From 009d08ea45ce03a60057f1a280a829f4c2518ffc Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 16:51:20 -0700 Subject: [PATCH 30/62] playing with R --- code/training/train_with_r.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index deccd66d..ea13365d 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -12,7 +12,11 @@ folder = args.AZUREML_SCRIPT_DIRECTORY_NAME #os.system("Rscript "+"dbfs:/"+folder+"/r_train.r") +os.system("dbfs ls") +os.system("dbfs ls dbfs:/FileStore") os.system("ls -ltr "+"dbfs:/"+folder) +os.system("ls -ltr "+"dbfs:/FileStore") + # os.system("pwd") # os.system("env") # os.system("ls -ltr /local_disk0") From 6daf7ff203e983625ff6094aebccccf2f14c185e Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:02:51 -0700 Subject: [PATCH 31/62] playing with R --- code/training/train_with_r.py | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index ea13365d..7eef5ef9 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,11 +11,9 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -#os.system("Rscript "+"dbfs:/"+folder+"/r_train.r") -os.system("dbfs ls") -os.system("dbfs ls dbfs:/FileStore") -os.system("ls -ltr "+"dbfs:/"+folder) -os.system("ls -ltr "+"dbfs:/FileStore") +#os.system("Rscript "+"dbfs/"+folder+"/r_train.r") +os.system("ls -ltr "+"dbfs/"+folder) +os.system("ls -ltr "+"dbfs/FileStore") # os.system("pwd") # os.system("env") From ce8351082419552b7d18b058ae4fadb034c1cd1a Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:04:35 -0700 Subject: [PATCH 32/62] playing with R --- code/training/train_with_r.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 7eef5ef9..65291822 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,9 +11,9 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -#os.system("Rscript "+"dbfs/"+folder+"/r_train.r") -os.system("ls -ltr "+"dbfs/"+folder) -os.system("ls -ltr "+"dbfs/FileStore") +os.system("Rscript "+"/dbfs/"+folder+"/r_train.r") +os.system("ls -ltr "+"/dbfs/"+folder) +os.system("ls -ltr "+"/dbfs/FileStore") # os.system("pwd") # os.system("env") From 7c9f9ae71dee4384a8f51d1606735291d0041d7f Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:10:56 -0700 Subject: [PATCH 33/62] play with R --- code/training/train_with_r.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 65291822..42de8dbb 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,9 +11,10 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME +os.system("cd "+"/dbfs/"+folder) os.system("Rscript "+"/dbfs/"+folder+"/r_train.r") os.system("ls -ltr "+"/dbfs/"+folder) -os.system("ls -ltr "+"/dbfs/FileStore") + # os.system("pwd") # os.system("env") From 7614b0b29fd117212900b41d3c22d08e99f5bc8e Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:18:14 -0700 Subject: [PATCH 34/62] playing with R --- code/training/train_with_r.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 42de8dbb..83eb1e2d 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,9 +11,9 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd "+"/dbfs/"+folder) -os.system("Rscript "+"/dbfs/"+folder+"/r_train.r") -os.system("ls -ltr "+"/dbfs/"+folder) +os.system() +os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") +os.system("ls -ltr ") # os.system("pwd") From 59864b1b2b430dd782ddaa1fcd22f0465aee9868 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:28:41 -0700 Subject: [PATCH 35/62] play with R --- code/training/train_with_r.py | 1 - 1 file changed, 1 deletion(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index 83eb1e2d..b8337624 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -11,7 +11,6 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system() os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") os.system("ls -ltr ") From 182ac1cd035f64a64efee0b5940f4e6bb0bbedaa Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 25 Sep 2019 17:33:52 -0700 Subject: [PATCH 36/62] playing with R --- code/training/train_with_r.py | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/code/training/train_with_r.py b/code/training/train_with_r.py index b8337624..6bbaff0a 100644 --- a/code/training/train_with_r.py +++ b/code/training/train_with_r.py @@ -12,16 +12,5 @@ folder = args.AZUREML_SCRIPT_DIRECTORY_NAME os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") -os.system("ls -ltr ") - - -# os.system("pwd") -# os.system("env") -# os.system("ls -ltr /local_disk0") -# os.system("ls -ltr /local_disk0/tmp") -# os.system("ls -ltr /databricks") -# os.system("ls -ltr /databricks/spark") -# os.system("ls -ltr /databricks/spark/scripts") -# os.system("ls -ltr /databricks/spark/python") From 77795f7bcaf9ea4ed84b0ff1d676d6a88aa742b5 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:25:39 -0700 Subject: [PATCH 37/62] Playing with R --- .pipelines/azdo-ci-build-train.yml | 15 +++- code/training/{ => R}/r_train.r | 0 code/training/{ => R}/train_with_r.py | 0 code/training/R/train_with_r_on_databricks.py | 16 ++++ code/training/{ => R}/weight_data.csv | 0 .../build_train_pipeline_with_r_on_dbricks.py | 76 +++++++++++++++++++ 6 files changed, 105 insertions(+), 2 deletions(-) rename code/training/{ => R}/r_train.r (100%) rename code/training/{ => R}/train_with_r.py (100%) create mode 100644 code/training/R/train_with_r_on_databricks.py rename code/training/{ => R}/weight_data.csv (100%) create mode 100644 ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index e305d237..3160528c 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -15,14 +15,25 @@ variables: steps: - + +- template: azdo-base-pipeline.yml + - bash: | - # Invoke the Python building and publishing a training pipeline + # Invoke the Python building and publishing a training pipeline with Python on ML Compute python3 $(Build.SourcesDirectory)/ml_service/pipelines/build_train_pipeline.py failOnStderr: 'false' env: SP_APP_SECRET: '$(SP_APP_SECRET)' displayName: 'Publish Azure Machine Learning Pipeline' + enabled: 'false' + +- bash: | + # Invoke the Python building and publishing a training pipeline with R on DataBricks + python3 $(Build.SourcesDirectory)/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py + failOnStderr: 'false' + env: + SP_APP_SECRET: '$(SP_APP_SECRET)' + displayName: 'Publish Azure Machine Learning Pipeline' enabled: 'true' - task: CopyFiles@2 diff --git a/code/training/r_train.r b/code/training/R/r_train.r similarity index 100% rename from code/training/r_train.r rename to code/training/R/r_train.r diff --git a/code/training/train_with_r.py b/code/training/R/train_with_r.py similarity index 100% rename from code/training/train_with_r.py rename to code/training/R/train_with_r.py diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py new file mode 100644 index 00000000..6bbaff0a --- /dev/null +++ b/code/training/R/train_with_r_on_databricks.py @@ -0,0 +1,16 @@ +import os +import argparse + +parser = argparse.ArgumentParser("train") +parser.add_argument( + "--AZUREML_SCRIPT_DIRECTORY_NAME", + type=str, + help="folder", +) + +args, unknown = parser.parse_known_args() +folder = args.AZUREML_SCRIPT_DIRECTORY_NAME + +os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") + + diff --git a/code/training/weight_data.csv b/code/training/R/weight_data.csv similarity index 100% rename from code/training/weight_data.csv rename to code/training/R/weight_data.csv diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py new file mode 100644 index 00000000..04880dfd --- /dev/null +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -0,0 +1,76 @@ +from azureml.pipeline.core.graph import PipelineParameter +from azureml.pipeline.steps import PythonScriptStep +from azureml.pipeline.core import Pipeline # , PipelineData +from azureml.core.runconfig import RunConfiguration, CondaDependencies +# from azureml.core import Datastore +import os +import sys +from dotenv import load_dotenv +sys.path.append(os.path.abspath("./ml_service/util")) # NOQA: E402 +from workspace import get_workspace +from attach_compute import get_compute +from azureml.pipeline.steps import DatabricksStep + + +def main(): + load_dotenv() + workspace_name = os.environ.get("BASE_NAME")+"-AML-WS" + resource_group = os.environ.get("BASE_NAME")+"-AML-RG" + subscription_id = os.environ.get("SUBSCRIPTION_ID") + tenant_id = os.environ.get("TENANT_ID") + app_id = os.environ.get("SP_APP_ID") + app_secret = os.environ.get("SP_APP_SECRET") + vm_size = os.environ.get("AML_COMPUTE_CLUSTER_CPU_SKU") + compute_name = os.environ.get("AML_COMPUTE_CLUSTER_NAME") + db_cluster_id = os.environ.get("DB_CLUSTER_ID") + build_id = os.environ.get("BUILD_BUILDID") + pipeline_name = os.environ.get("TRAINING_PIPELINE_NAME") + + # Get Azure machine learning workspace + aml_workspace = get_workspace( + workspace_name, + resource_group, + subscription_id, + tenant_id, + app_id, + app_secret) + print(aml_workspace) + + # Get Azure machine learning cluster + aml_compute = get_compute( + aml_workspace, + compute_name, + vm_size) + if aml_compute is not None: + print(aml_compute) + + + train_step = DatabricksStep( + name="DBPythonInLocalMachine", + num_workers=1, + python_script_name="train_with_r.py", + source_directory="code/training/R", + run_name='DB_Python_R_demo', + existing_cluster_id=db_cluster_id, + compute_target=aml_compute, + allow_reuse=False + ) + + + print("Step Train created") + + steps = [train_step] + + train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) + train_pipeline.validate() + published_pipeline = train_pipeline.publish( + name=pipeline_name + "with_R_on_DB", + description="Model training/retraining pipeline", + version=build_id + ) + print(f'Published pipeline: {published_pipeline.name}') + print(f'for build {published_pipeline.version}') + + +if __name__ == '__main__': + main() From 36839484eebf785d52237cd2e6ebebda98818a94 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:34:08 -0700 Subject: [PATCH 38/62] Playing with R --- .pipelines/azdo-ci-build-train.yml | 4 +- ml_service/pipelines/build_train_pipeline.py | 81 ++++++++------------ 2 files changed, 35 insertions(+), 50 deletions(-) diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index 3160528c..524b8ede 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -24,7 +24,7 @@ steps: failOnStderr: 'false' env: SP_APP_SECRET: '$(SP_APP_SECRET)' - displayName: 'Publish Azure Machine Learning Pipeline' + displayName: 'Publish Azure Machine Learning Pipeline. Python on ML' enabled: 'false' - bash: | @@ -33,7 +33,7 @@ steps: failOnStderr: 'false' env: SP_APP_SECRET: '$(SP_APP_SECRET)' - displayName: 'Publish Azure Machine Learning Pipeline' + displayName: 'Publish Azure Machine Learning Pipeline. R on DataBricks' enabled: 'true' - task: CopyFiles@2 diff --git a/ml_service/pipelines/build_train_pipeline.py b/ml_service/pipelines/build_train_pipeline.py index 91444aee..cd65ff83 100644 --- a/ml_service/pipelines/build_train_pipeline.py +++ b/ml_service/pipelines/build_train_pipeline.py @@ -9,7 +9,6 @@ sys.path.append(os.path.abspath("./ml_service/util")) # NOQA: E402 from workspace import get_workspace from attach_compute import get_compute -from azureml.pipeline.steps import DatabricksStep def main(): @@ -43,7 +42,7 @@ def main(): # Get Azure machine learning cluster aml_compute = get_compute( aml_workspace, - "databricks", + compute_name, vm_size) if aml_compute is not None: print(aml_compute) @@ -56,77 +55,63 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True - run_config.environment.docker.base_image = "eugenefedorenko/rimage:latest" model_name = PipelineParameter( name="model_name", default_value=model_name) release_id = PipelineParameter( name="release_id", default_value="0" ) - - train_step = DatabricksStep( - name="DBPythonInLocalMachine", - num_workers=1, - python_script_name="train_with_r.py", - source_directory="code/training", - run_name='DB_Python_Local_demo', - existing_cluster_id="0925-210443-edge340", + + train_step = PythonScriptStep( + name="Train Model", + script_name=train_script_path, compute_target=aml_compute, + source_directory=sources_directory_train, + arguments=[ + "--release_id", release_id, + "--model_name", model_name, + ], + runconfig=run_config, allow_reuse=False, - python_script_params=['--model_name', model_name] ) - - # train_step = PythonScriptStep( - # name="Train Model", - # script_name="train_with_r.py", - # compute_target=aml_compute, - # source_directory="code/training", - # arguments=[ - # "--release_id", release_id, - # "--model_name", model_name, - # ], - # runconfig=run_config, - # allow_reuse=False, - # ) print("Step Train created") - # evaluate_step = PythonScriptStep( - # name="Evaluate Model ", - # script_name=evaluate_script_path, - # compute_target=aml_compute_cpu, - # source_directory=sources_directory_train, - # arguments=[ - # "--config_suffix", config_suffix, - # "--json_config", jsonconfigs, - # ], - # runconfig=run_config, - # inputs=[jsonconfigs], - # # outputs=[jsonconfigs], - # allow_reuse=False, - # ) - # print("Step Evaluate created") + evaluate_step = PythonScriptStep( + name="Evaluate Model ", + script_name=evaluate_script_path, + compute_target=aml_compute, + source_directory=sources_directory_train, + arguments=[ + "--release_id", release_id, + "--model_name", model_name, + ], + runconfig=run_config, + allow_reuse=False, + ) + print("Step Evaluate created") + + # Currently, the Evaluate step will automatically register + # the model if it performs better. This step is based on a + # previous version of the repo which utilized JSON files to + # track evaluation results. # register_model_step = PythonScriptStep( # name="Register New Trained Model", # script_name=register_script_path, - # compute_target=aml_compute_cpu, + # compute_target=aml_compute, # source_directory=sources_directory_train, # arguments=[ - # "--config_suffix", config_suffix, - # "--json_config", jsonconfigs, + # "--release_id", release_id, # "--model_name", model_name, # ], # runconfig=run_config, - # inputs=[jsonconfigs], - # # outputs=[jsonconfigs], # allow_reuse=False, # ) # print("Step register model created") - # evaluate_step.run_after(train_step) + evaluate_step.run_after(train_step) # register_model_step.run_after(evaluate_step) - # steps = [register_model_step] - steps = [train_step] + steps = [evaluate_step] train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) train_pipeline.validate() From 8a7d0f927fda4bd4b2562c42a60b563fe9bb3203 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:49:22 -0700 Subject: [PATCH 39/62] Linting --- code/training/R/train_with_r.py | 4 +--- .../pipelines/build_train_pipeline_with_r_on_dbricks.py | 3 --- 2 files changed, 1 insertion(+), 6 deletions(-) diff --git a/code/training/R/train_with_r.py b/code/training/R/train_with_r.py index 6bbaff0a..e3fea09e 100644 --- a/code/training/R/train_with_r.py +++ b/code/training/R/train_with_r.py @@ -11,6 +11,4 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") - - +os.system("cd " + "/dbfs/" + folder + " && Rscript " + "/dbfs/" + folder + "/r_train.r") diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py index 04880dfd..2907bf54 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -1,5 +1,4 @@ from azureml.pipeline.core.graph import PipelineParameter -from azureml.pipeline.steps import PythonScriptStep from azureml.pipeline.core import Pipeline # , PipelineData from azureml.core.runconfig import RunConfiguration, CondaDependencies # from azureml.core import Datastore @@ -44,7 +43,6 @@ def main(): if aml_compute is not None: print(aml_compute) - train_step = DatabricksStep( name="DBPythonInLocalMachine", num_workers=1, @@ -56,7 +54,6 @@ def main(): allow_reuse=False ) - print("Step Train created") steps = [train_step] From 8c719e9e04971d09cd76fa04d76c8b7933f2d719 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:53:58 -0700 Subject: [PATCH 40/62] Playing with R --- code/training/R/train_with_r.py | 3 ++- .../pipelines/build_train_pipeline_with_r_on_dbricks.py | 5 +---- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/code/training/R/train_with_r.py b/code/training/R/train_with_r.py index e3fea09e..545c071c 100644 --- a/code/training/R/train_with_r.py +++ b/code/training/R/train_with_r.py @@ -11,4 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + "/dbfs/" + folder + "/r_train.r") +os.system("cd " + "/dbfs/" + folder + " && Rscript " + \ + "/dbfs/" + folder + "/r_train.r") diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py index 2907bf54..e754589a 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -1,7 +1,4 @@ -from azureml.pipeline.core.graph import PipelineParameter -from azureml.pipeline.core import Pipeline # , PipelineData -from azureml.core.runconfig import RunConfiguration, CondaDependencies -# from azureml.core import Datastore +from azureml.pipeline.core import Pipeline import os import sys from dotenv import load_dotenv From 7e34be297a9a226a6346a6a431b195bab52ffea6 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:54:06 -0700 Subject: [PATCH 41/62] Playimng with R --- code/training/R/train_with_r_on_databricks.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py index 6bbaff0a..545c071c 100644 --- a/code/training/R/train_with_r_on_databricks.py +++ b/code/training/R/train_with_r_on_databricks.py @@ -11,6 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd "+"/dbfs/"+folder +" && Rscript "+"/dbfs/"+folder+"/r_train.r") - - +os.system("cd " + "/dbfs/" + folder + " && Rscript " + \ + "/dbfs/" + folder + "/r_train.r") From f7fe561182d2eb5599a39f10aba7b9a3948ee338 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 15:57:59 -0700 Subject: [PATCH 42/62] linting --- code/training/R/train_with_r.py | 4 ++-- code/training/R/train_with_r_on_databricks.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/code/training/R/train_with_r.py b/code/training/R/train_with_r.py index 545c071c..f986d134 100644 --- a/code/training/R/train_with_r.py +++ b/code/training/R/train_with_r.py @@ -11,5 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + \ - "/dbfs/" + folder + "/r_train.r") +os.system("cd " + "/dbfs/" + folder + " && Rscript " + + "/dbfs/" + folder + "/r_train.r") diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py index 545c071c..f986d134 100644 --- a/code/training/R/train_with_r_on_databricks.py +++ b/code/training/R/train_with_r_on_databricks.py @@ -11,5 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + \ - "/dbfs/" + folder + "/r_train.r") +os.system("cd " + "/dbfs/" + folder + " && Rscript " + + "/dbfs/" + folder + "/r_train.r") From 4abbad0dd492047430ff466740db840813f5a1cc Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:00:51 -0700 Subject: [PATCH 43/62] linting --- code/training/R/train_with_r.py | 2 +- code/training/R/train_with_r_on_databricks.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/code/training/R/train_with_r.py b/code/training/R/train_with_r.py index f986d134..53341d30 100644 --- a/code/training/R/train_with_r.py +++ b/code/training/R/train_with_r.py @@ -11,5 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + +os.system("cd " + "/dbfs/" + folder + " && Rscript " + "/dbfs/" + folder + "/r_train.r") diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py index f986d134..53341d30 100644 --- a/code/training/R/train_with_r_on_databricks.py +++ b/code/training/R/train_with_r_on_databricks.py @@ -11,5 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + +os.system("cd " + "/dbfs/" + folder + " && Rscript " + "/dbfs/" + folder + "/r_train.r") From 686d167688892039d9dbddb301a7afd440ea02cb Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:09:35 -0700 Subject: [PATCH 44/62] Playing with R --- ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py index e754589a..68d311f3 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -17,7 +17,7 @@ def main(): app_id = os.environ.get("SP_APP_ID") app_secret = os.environ.get("SP_APP_SECRET") vm_size = os.environ.get("AML_COMPUTE_CLUSTER_CPU_SKU") - compute_name = os.environ.get("AML_COMPUTE_CLUSTER_NAME") + compute_name = os.environ.get("DATABRICKS_COMPUTE_NAME") db_cluster_id = os.environ.get("DB_CLUSTER_ID") build_id = os.environ.get("BUILD_BUILDID") pipeline_name = os.environ.get("TRAINING_PIPELINE_NAME") From 5ef7a012d55ea99581dc80ec147e959a769a8347 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:19:48 -0700 Subject: [PATCH 45/62] Playing with R --- code/training/R/train_with_r_on_databricks.py | 4 ++-- .../pipelines/build_train_pipeline_with_r_on_dbricks.py | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py index 53341d30..881311dc 100644 --- a/code/training/R/train_with_r_on_databricks.py +++ b/code/training/R/train_with_r_on_databricks.py @@ -11,5 +11,5 @@ args, unknown = parser.parse_known_args() folder = args.AZUREML_SCRIPT_DIRECTORY_NAME -os.system("cd " + "/dbfs/" + folder + " && Rscript " + - "/dbfs/" + folder + "/r_train.r") +os.system("cd " + "/dbfs/" + folder + + " && Rscript r_train.r && ls -ltr r_train.r") diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py index 68d311f3..41c71ade 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -43,7 +43,7 @@ def main(): train_step = DatabricksStep( name="DBPythonInLocalMachine", num_workers=1, - python_script_name="train_with_r.py", + python_script_name="train_with_r_on_databricks.py", source_directory="code/training/R", run_name='DB_Python_R_demo', existing_cluster_id=db_cluster_id, From 0283fb24177302d3bfe7f36e9a4c1095d317439f Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:25:10 -0700 Subject: [PATCH 46/62] Playing with R --- code/training/R/train_with_r_on_databricks.py | 2 +- ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/code/training/R/train_with_r_on_databricks.py b/code/training/R/train_with_r_on_databricks.py index 881311dc..1a120bd0 100644 --- a/code/training/R/train_with_r_on_databricks.py +++ b/code/training/R/train_with_r_on_databricks.py @@ -12,4 +12,4 @@ folder = args.AZUREML_SCRIPT_DIRECTORY_NAME os.system("cd " + "/dbfs/" + folder + - " && Rscript r_train.r && ls -ltr r_train.r") + " && Rscript r_train.r && ls -ltr model.rds") diff --git a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py index 41c71ade..95de9e55 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py +++ b/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -58,7 +58,7 @@ def main(): train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) train_pipeline.validate() published_pipeline = train_pipeline.publish( - name=pipeline_name + "with_R_on_DB", + name=pipeline_name + "_with_R_on_DB", description="Model training/retraining pipeline", version=build_id ) From cd6f9e57c37fe42309b24a3947864eeebb8cf2da Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:42:47 -0700 Subject: [PATCH 47/62] Playing with R --- .pipelines/azdo-ci-build-train.yml | 11 ++- code/training/R/train_with_r.py | 14 +--- .../pipelines/build_train_pipeline_with_r.py | 79 +++++++++++++++++++ ml_service/pipelines/run_train_pipeline.py | 2 +- 4 files changed, 91 insertions(+), 15 deletions(-) create mode 100644 ml_service/pipelines/build_train_pipeline_with_r.py diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index 524b8ede..6bdceddb 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -27,6 +27,15 @@ steps: displayName: 'Publish Azure Machine Learning Pipeline. Python on ML' enabled: 'false' + - bash: | + # Invoke the Python building and publishing a training pipeline with R on ML Compute + python3 $(Build.SourcesDirectory)/ml_service/pipelines/build_train_pipeline_with_r.py + failOnStderr: 'false' + env: + SP_APP_SECRET: '$(SP_APP_SECRET)' + displayName: 'Publish Azure Machine Learning Pipeline. R on ML Compute' + enabled: 'true' + - bash: | # Invoke the Python building and publishing a training pipeline with R on DataBricks python3 $(Build.SourcesDirectory)/ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py @@ -34,7 +43,7 @@ steps: env: SP_APP_SECRET: '$(SP_APP_SECRET)' displayName: 'Publish Azure Machine Learning Pipeline. R on DataBricks' - enabled: 'true' + enabled: 'false' - task: CopyFiles@2 displayName: 'Copy Files to: $(Build.ArtifactStagingDirectory)' diff --git a/code/training/R/train_with_r.py b/code/training/R/train_with_r.py index 53341d30..e2c7d295 100644 --- a/code/training/R/train_with_r.py +++ b/code/training/R/train_with_r.py @@ -1,15 +1,3 @@ import os -import argparse -parser = argparse.ArgumentParser("train") -parser.add_argument( - "--AZUREML_SCRIPT_DIRECTORY_NAME", - type=str, - help="folder", -) - -args, unknown = parser.parse_known_args() -folder = args.AZUREML_SCRIPT_DIRECTORY_NAME - -os.system("cd " + "/dbfs/" + folder + " && Rscript " + - "/dbfs/" + folder + "/r_train.r") +os.system("Rscript r_train.r && ls -ltr model.rds") diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py new file mode 100644 index 00000000..e5a73a7e --- /dev/null +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -0,0 +1,79 @@ +from azureml.pipeline.core.graph import PipelineParameter +from azureml.pipeline.steps import PythonScriptStep +from azureml.pipeline.core import Pipeline # , PipelineData +from azureml.core.runconfig import RunConfiguration, CondaDependencies +# from azureml.core import Datastore +import os +import sys +from dotenv import load_dotenv +sys.path.append(os.path.abspath("./ml_service/util")) # NOQA: E402 +from workspace import get_workspace +from attach_compute import get_compute + + +def main(): + load_dotenv() + workspace_name = os.environ.get("BASE_NAME")+"-AML-WS" + resource_group = os.environ.get("BASE_NAME")+"-AML-RG" + subscription_id = os.environ.get("SUBSCRIPTION_ID") + tenant_id = os.environ.get("TENANT_ID") + app_id = os.environ.get("SP_APP_ID") + app_secret = os.environ.get("SP_APP_SECRET") + vm_size = os.environ.get("AML_COMPUTE_CLUSTER_CPU_SKU") + compute_name = os.environ.get("AML_COMPUTE_CLUSTER_NAME") + build_id = os.environ.get("BUILD_BUILDID") + pipeline_name = os.environ.get("TRAINING_PIPELINE_NAME") + + # Get Azure machine learning workspace + aml_workspace = get_workspace( + workspace_name, + resource_group, + subscription_id, + tenant_id, + app_id, + app_secret) + print(aml_workspace) + + # Get Azure machine learning cluster + aml_compute = get_compute( + aml_workspace, + compute_name, + vm_size) + if aml_compute is not None: + print(aml_compute) + + run_config = RunConfiguration(conda_dependencies=CondaDependencies.create( + conda_packages=['numpy', 'pandas', + 'scikit-learn', 'tensorflow', 'keras'], + pip_packages=['azure', 'azureml-core', + 'azure-storage', + 'azure-storage-blob']) + ) + run_config.environment.docker.enabled = True + run_config.environment.docker.base_image = "eugenefedorenko/rimage:latest" + + train_step = PythonScriptStep( + name="Train Model", + script_name="train_with_r.py", + compute_target=aml_compute, + source_directory="code/training/R", + runconfig=run_config, + allow_reuse=False, + ) + print("Step Train created") + + steps = [train_step] + + train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) + train_pipeline.validate() + published_pipeline = train_pipeline.publish( + name=pipeline_name, + description="Model training/retraining pipeline", + version=build_id + ) + print(f'Published pipeline: {published_pipeline.name}') + print(f'for build {published_pipeline.version}') + + +if __name__ == '__main__': + main() diff --git a/ml_service/pipelines/run_train_pipeline.py b/ml_service/pipelines/run_train_pipeline.py index 11252a88..5c7c9a7f 100644 --- a/ml_service/pipelines/run_train_pipeline.py +++ b/ml_service/pipelines/run_train_pipeline.py @@ -28,7 +28,7 @@ def main(): subscription_id=subscription_id, resource_group=resource_group, auth=service_principal - ) + )name # Find the pipeline that was published by the specified build ID pipelines = PublishedPipeline.list(aml_workspace) From b05b0cd5f08e901e1fc88c1b7ce9d5727d03a998 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:44:16 -0700 Subject: [PATCH 48/62] Playing with R --- .pipelines/azdo-ci-build-train.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index 6bdceddb..8ebd791a 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -27,7 +27,7 @@ steps: displayName: 'Publish Azure Machine Learning Pipeline. Python on ML' enabled: 'false' - - bash: | +- bash: | # Invoke the Python building and publishing a training pipeline with R on ML Compute python3 $(Build.SourcesDirectory)/ml_service/pipelines/build_train_pipeline_with_r.py failOnStderr: 'false' From 7c488c6d1df4aca8988082b634d0776d38d9af2a Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 16:47:26 -0700 Subject: [PATCH 49/62] Playing with R --- ml_service/pipelines/build_train_pipeline_with_r.py | 1 - ml_service/pipelines/run_train_pipeline.py | 2 +- 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py index e5a73a7e..9d6ebf67 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r.py +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -1,4 +1,3 @@ -from azureml.pipeline.core.graph import PipelineParameter from azureml.pipeline.steps import PythonScriptStep from azureml.pipeline.core import Pipeline # , PipelineData from azureml.core.runconfig import RunConfiguration, CondaDependencies diff --git a/ml_service/pipelines/run_train_pipeline.py b/ml_service/pipelines/run_train_pipeline.py index 5c7c9a7f..11252a88 100644 --- a/ml_service/pipelines/run_train_pipeline.py +++ b/ml_service/pipelines/run_train_pipeline.py @@ -28,7 +28,7 @@ def main(): subscription_id=subscription_id, resource_group=resource_group, auth=service_principal - )name + ) # Find the pipeline that was published by the specified build ID pipelines = PublishedPipeline.list(aml_workspace) From e8875b101d03329c7027c6462bc81fdd9cad840a Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 17:01:54 -0700 Subject: [PATCH 50/62] Playing with R --- ml_service/pipelines/build_train_pipeline_with_r.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py index 9d6ebf67..b8513718 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r.py +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -66,7 +66,7 @@ def main(): train_pipeline = Pipeline(workspace=aml_workspace, steps=steps) train_pipeline.validate() published_pipeline = train_pipeline.publish( - name=pipeline_name, + name=pipeline_name + "_with_R", description="Model training/retraining pipeline", version=build_id ) From 710f5cf53c9c60e5dbb6da89bf94822ddc9c6c84 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 17:39:29 -0700 Subject: [PATCH 51/62] Playing with R --- environment_setup/Dockerfile | 20 ++++++++++++++++++- .../pipelines/build_train_pipeline_with_r.py | 4 +++- 2 files changed, 22 insertions(+), 2 deletions(-) diff --git a/environment_setup/Dockerfile b/environment_setup/Dockerfile index b6b3be6a..976d472c 100644 --- a/environment_setup/Dockerfile +++ b/environment_setup/Dockerfile @@ -8,6 +8,24 @@ LABEL org.label-schema.vendor = "Microsoft" \ COPY environment_setup/requirements.txt /setup/ -RUN apt-get update && apt-get install gcc -y && pip install --upgrade -r /setup/requirements.txt +RUN apt-get update && apt-get install gcc -y && pip install --upgrade -r /setup/requirements.txt && \ + conda install -c r r-essentials + # R --vanilla -e 'install.packages(c( "RPostgreSQL", \ + # "DBI", \ + # "lubridate", \ + # "RSQLite", \ + # "magrittr", \ + # "zoo", \ + # "functional", \ + # "moments", \ + # "fpc", \ + # "RcppRoll", \ + # "cowplot", \ + # "tsne", \ + # "config", \ + # "factoextra", \ + # "NMF", \ + # "ggcorrplot", \ + # "umap"), repos="http://cran.r-project.org")' CMD ["python"] \ No newline at end of file diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py index b8513718..222f16ac 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r.py +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -49,7 +49,9 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True - run_config.environment.docker.base_image = "eugenefedorenko/rimage:latest" + run_config.environment.docker.base_image = "eugenefedorenko/rimage:r" + #run_config.environment.docker.base_image = "datascienceschool/rpython" + train_step = PythonScriptStep( name="Train Model", From 9e9fcc8345d74f0c37d76db1ec908ccb4bfa5532 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Thu, 26 Sep 2019 17:43:19 -0700 Subject: [PATCH 52/62] Playing with R --- ml_service/pipelines/build_train_pipeline_with_r.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py index 222f16ac..4e542bfb 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r.py +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -50,8 +50,6 @@ def main(): ) run_config.environment.docker.enabled = True run_config.environment.docker.base_image = "eugenefedorenko/rimage:r" - #run_config.environment.docker.base_image = "datascienceschool/rpython" - train_step = PythonScriptStep( name="Train Model", From 7593dc58ccc51265d808c99975291ebc1b00f773 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Mon, 30 Sep 2019 15:54:26 -0700 Subject: [PATCH 53/62] public image --- ml_service/pipelines/build_train_pipeline_with_r.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ml_service/pipelines/build_train_pipeline_with_r.py b/ml_service/pipelines/build_train_pipeline_with_r.py index 4e542bfb..7eae2c98 100644 --- a/ml_service/pipelines/build_train_pipeline_with_r.py +++ b/ml_service/pipelines/build_train_pipeline_with_r.py @@ -49,7 +49,7 @@ def main(): 'azure-storage-blob']) ) run_config.environment.docker.enabled = True - run_config.environment.docker.base_image = "eugenefedorenko/rimage:r" + run_config.environment.docker.base_image = "mcr.microsoft.com/mlops/python" train_step = PythonScriptStep( name="Train Model", From 482814722480c6a07dc77f22f736f9e3d142955a Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Mon, 30 Sep 2019 16:01:21 -0700 Subject: [PATCH 54/62] remove garbage --- data/diabetes copy copy.csv | 443 ------------------------------------ data/diabetes copy.csv | 443 ------------------------------------ 2 files changed, 886 deletions(-) delete mode 100644 data/diabetes copy copy.csv delete mode 100644 data/diabetes copy.csv diff --git a/data/diabetes copy copy.csv b/data/diabetes copy copy.csv deleted file mode 100644 index 162002a7..00000000 --- a/data/diabetes copy copy.csv +++ /dev/null @@ -1,443 +0,0 @@ -AGE,SEX,BMI,BP,S1,S2,S3,S4,S5,S6,Y -0.0380759064334241,0.0506801187398187,0.0616962065186885,0.0218723549949558,-0.0442234984244464,-0.0348207628376986,-0.0434008456520269,-0.00259226199818282,0.0199084208763183,-0.0176461251598052,151.0 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--0.0127796318808497,-0.044641636506989,-0.0234509473179027,-0.0400993174922969,-0.0167044412604238,0.0046359433477825,-0.0176293810234174,-0.00259226199818282,-0.0384591123013538,-0.0383566597339788,64.0 --0.0563700932930843,-0.044641636506989,-0.074108114790305,-0.0504279295735057,-0.0249601584096305,-0.0470335528474903,0.0928197530991947,-0.076394503750001,-0.0611765950943345,-0.0466408735636482,48.0 -0.0417084448844436,0.0506801187398187,0.0196615356373334,0.0597439326260547,-0.00569681839481472,-0.00256647127337676,-0.0286742944356786,-0.00259226199818282,0.0311929907028023,0.00720651632920303,178.0 --0.00551455497881059,0.0506801187398187,-0.0159062628007364,-0.067642283042187,0.0493412959332305,0.0791652772536912,-0.0286742944356786,0.0343088588777263,-0.0181182673078967,0.0444854785627154,104.0 -0.0417084448844436,0.0506801187398187,-0.0159062628007364,0.0172818607481171,-0.0373437341334407,-0.0138398158977999,-0.0249926566315915,-0.0110795197996419,-0.0468794828442166,0.0154907301588724,132.0 --0.0454724779400257,-0.044641636506989,0.0390621529671896,0.00121513083253827,0.0163184273364034,0.0152829910486266,-0.0286742944356786,0.0265596234937854,0.0445283740214053,-0.0259303389894746,220.0 --0.0454724779400257,-0.044641636506989,-0.0730303027164241,-0.081413765817132,0.0837401173882587,0.0278089295202079,0.17381578478911,-0.0394933828740919,-0.00421985970694603,0.00306440941436832,57.0 From d0262dbfd44a7c3e38a67b19ad61be628f5a2963 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Mon, 30 Sep 2019 16:47:55 -0700 Subject: [PATCH 55/62] azureml is needed for data test --- environment_setup/requirements.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/environment_setup/requirements.txt b/environment_setup/requirements.txt index 23880c0c..8a086c4d 100644 --- a/environment_setup/requirements.txt +++ b/environment_setup/requirements.txt @@ -1,5 +1,6 @@ pytest==4.3.0 requests>=2.22 +azureml>=0.2 azureml-sdk>=1.0 python-dotenv>=0.10.3 flake8 From 4e9cf4845aab5baa61cc1d3d1f9cc65010cee975 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 1 Oct 2019 11:32:08 -0700 Subject: [PATCH 56/62] doc update --- .pipelines/azdo-ci-build-train.yml | 4 ++-- docs/code_description.md | 6 +++-- docs/getting_started.md | 38 +++++++++++++++++------------- 3 files changed, 27 insertions(+), 21 deletions(-) diff --git a/.pipelines/azdo-ci-build-train.yml b/.pipelines/azdo-ci-build-train.yml index 8ebd791a..efecb7f8 100644 --- a/.pipelines/azdo-ci-build-train.yml +++ b/.pipelines/azdo-ci-build-train.yml @@ -25,7 +25,7 @@ steps: env: SP_APP_SECRET: '$(SP_APP_SECRET)' displayName: 'Publish Azure Machine Learning Pipeline. Python on ML' - enabled: 'false' + enabled: 'true' - bash: | # Invoke the Python building and publishing a training pipeline with R on ML Compute @@ -34,7 +34,7 @@ steps: env: SP_APP_SECRET: '$(SP_APP_SECRET)' displayName: 'Publish Azure Machine Learning Pipeline. R on ML Compute' - enabled: 'true' + enabled: 'false' - bash: | # Invoke the Python building and publishing a training pipeline with R on DataBricks diff --git a/docs/code_description.md b/docs/code_description.md index d93ef077..b169179c 100644 --- a/docs/code_description.md +++ b/docs/code_description.md @@ -20,8 +20,10 @@ ### ML Services -- `ml_service/pipelines/build_train_pipeline.py` : builds and publishes an ML training pipeline. -- `ml_service/pipelines/run_train_pipeline.py` : invokes a published ML training pipeline via REST API. +- `ml_service/pipelines/build_train_pipeline.py` : builds and publishes an ML training pipeline. It uses Pyhton on ML Compute. +- `ml_service/pipelines/build_train_pipeline_with_r.py` : builds and publishes an ML training pipeline. It uses R on ML Compute. +- `ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py` : builds and publishes an ML training pipeline. It uses R on Databricks Compute. +- `ml_service/pipelines/run_train_pipeline.py` : invokes a published ML training pipeline (Pyhton on ML Compute) via REST API. - `ml_service/util` : contains common utility functions used to build and publish an ML training pipeline. ### Code diff --git a/docs/getting_started.md b/docs/getting_started.md index ffe175b9..6a419524 100644 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -33,23 +33,25 @@ Please name your variable group **``devopsforai-aml-vg``** as we are using this The variable group should contain the following variables: -| Variable Name | Suggested Value | -| --------------------------- | ---------------------------- | -| AML_COMPUTE_CLUSTER_CPU_SKU | STANDARD_DS2_V2 | -| AML_COMPUTE_CLUSTER_NAME | train-cluster | -| BASE_NAME | [unique base name] | -| EVALUATE_SCRIPT_PATH | evaluate/evaluate_model.py | -| EXPERIMENT_NAME | mlopspython | -| LOCATION | centralus | -| MODEL_NAME | sklearn_regression_model.pkl | -| REGISTER_SCRIPT_PATH | register/register_model.py | -| SOURCES_DIR_TRAIN | code | -| SP_APP_ID | | -| SP_APP_SECRET | | -| SUBSCRIPTION_ID | | -| TENANT_ID | | -| TRAIN_SCRIPT_PATH | training/train.py | -| TRAINING_PIPELINE_NAME | training-pipeline | +| Variable Name | Suggested Value | +| --------------------------- | -----------------------------------| +| AML_COMPUTE_CLUSTER_CPU_SKU | STANDARD_DS2_V2 | +| AML_COMPUTE_CLUSTER_NAME | train-cluster | +| BASE_NAME | [unique base name] | +| DB_CLUSTER_ID | [Optional Databricks cluster Id] | +| DATABRICKS_COMPUTE_NAME | [Optional Databricks compute name] | +| EVALUATE_SCRIPT_PATH | evaluate/evaluate_model.py | +| EXPERIMENT_NAME | mlopspython | +| LOCATION | centralus | +| MODEL_NAME | sklearn_regression_model.pkl | +| REGISTER_SCRIPT_PATH | register/register_model.py | +| SOURCES_DIR_TRAIN | code | +| SP_APP_ID | | +| SP_APP_SECRET | | +| SUBSCRIPTION_ID | | +| TENANT_ID | | +| TRAIN_SCRIPT_PATH | training/train.py | +| TRAINING_PIPELINE_NAME | training-pipeline | Mark **SP_APP_SECRET** variable as a secret one. @@ -108,6 +110,8 @@ and checkout a published training pipeline in the **mlops-AML-WS** workspace in Great, you now have the build pipeline setup, you can either manually trigger it or it gets automatically triggered everytime there is a change in the master branch. The pipeline performs linting, unit testing, builds and publishes an **ML Training Pipeline** in an **ML Workspace** +**Note:** The building pipeline contains disabled steps to build and publish ML pipelines using R to train a model. Enable these steps if you want to play with this approcah. For the pipeline training a model with R on Databricks you have to manually create a Databricks cluster and attach it to the ML Workspace as a compute (Values DB_CLUSTER_ID and DATABRICKS_COMPUTE_NAME variables shoud be specified). + ### 7. Train the Model The next step is to invoke the training pipeline created in the previous step. It can be done with a **Release Pipeline**. Click on the Pipelines/Releases menu, and then **New pipeline**, and then click on "Empty Job" on the "Select a template" window that pops to the right: From 5d7d2779c18893497264141edd650f65f56e84ed Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 1 Oct 2019 11:39:58 -0700 Subject: [PATCH 57/62] Doc update --- code/training/R/r_train.r | 8 -------- docs/code_description.md | 3 +++ 2 files changed, 3 insertions(+), 8 deletions(-) diff --git a/code/training/R/r_train.r b/code/training/R/r_train.r index a928aa12..c19a58be 100644 --- a/code/training/R/r_train.r +++ b/code/training/R/r_train.r @@ -1,14 +1,7 @@ -# Databricks notebook source print(R.version.string) # COMMAND ---------- -mount_name = "kcmunninstoragev2-databricks" # Change this to the mount name in your Databricks workspace - -# COMMAND ---------- - -# Load Training Data -#path = paste("/dbfs/mnt/",mount_name,"/weight_data.csv",sep="") path="weight_data.csv" print(paste("Reading file from",path)) @@ -35,7 +28,6 @@ print(result) # COMMAND ---------- # Save the model to blob storage -#model_path = paste("/dbfs/mnt/",mount_name,"/models/model.rds",sep="") model_path="model.rds" saveRDS(model, model_path) diff --git a/docs/code_description.md b/docs/code_description.md index b169179c..e02e2c8e 100644 --- a/docs/code_description.md +++ b/docs/code_description.md @@ -31,6 +31,9 @@ - `code/training/train.py` : a training step of an ML training pipeline. - `code/evaluate/evaluate_model.py` : an evaluating step of an ML training pipeline which registers a new trained model if evaluation shows the new model is more performant than the previous one. - `code/evaluate/register_model.py` : (LEGACY) registers a new trained model if evaluation shows the new model is more performant than the previous one. +- `code/training/R/r_train.r` : training a model with R basing on a sample dataset (weight_data.csv). +- `code/training/R/train_with_r.py` : a python wrapper (ML Pipeline Step) invoking R training script on ML Compute +- `code/training/R/train_with_r_on_databricks.py` : a python wrapper (ML Pipeline Step) invoking R training script on Databricks Compute ### Scoring - code/scoring/score.py : a scoring script which is about to be packed into a Docker Image along with a model while being deployed to QA/Prod environment. From e12f957acea619e0582167e6ca2b557db50f1ba5 Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 1 Oct 2019 11:42:47 -0700 Subject: [PATCH 58/62] doc update --- code/training/train.py | 2 +- docs/code_description.md | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/code/training/train.py b/code/training/train.py index f9b48d85..0ddb2e3e 100644 --- a/code/training/train.py +++ b/code/training/train.py @@ -22,7 +22,7 @@ IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THE SOFTWARE CODE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -Yes + """ from azureml.core.run import Run import os diff --git a/docs/code_description.md b/docs/code_description.md index e02e2c8e..2d5c7d10 100644 --- a/docs/code_description.md +++ b/docs/code_description.md @@ -34,6 +34,7 @@ - `code/training/R/r_train.r` : training a model with R basing on a sample dataset (weight_data.csv). - `code/training/R/train_with_r.py` : a python wrapper (ML Pipeline Step) invoking R training script on ML Compute - `code/training/R/train_with_r_on_databricks.py` : a python wrapper (ML Pipeline Step) invoking R training script on Databricks Compute +- `code/training/R/weight_data.csv` : a sample dataset used by R script (r_train.r) to train a model ### Scoring - code/scoring/score.py : a scoring script which is about to be packed into a Docker Image along with a model while being deployed to QA/Prod environment. From 5c2a758843e980c6f62725c22a2cba588851484e Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 1 Oct 2019 11:43:51 -0700 Subject: [PATCH 59/62] doc update --- code/training/train.py | 1 - 1 file changed, 1 deletion(-) diff --git a/code/training/train.py b/code/training/train.py index 0ddb2e3e..d703964f 100644 --- a/code/training/train.py +++ b/code/training/train.py @@ -22,7 +22,6 @@ IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THE SOFTWARE CODE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - """ from azureml.core.run import Run import os From 586e468d6e0b4ac636f39803a48e9c18e526cfff Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Tue, 1 Oct 2019 11:46:56 -0700 Subject: [PATCH 60/62] Doc update --- environment_setup/Dockerfile | 17 ----------------- 1 file changed, 17 deletions(-) diff --git a/environment_setup/Dockerfile b/environment_setup/Dockerfile index 976d472c..5e7b7581 100644 --- a/environment_setup/Dockerfile +++ b/environment_setup/Dockerfile @@ -10,22 +10,5 @@ COPY environment_setup/requirements.txt /setup/ RUN apt-get update && apt-get install gcc -y && pip install --upgrade -r /setup/requirements.txt && \ conda install -c r r-essentials - # R --vanilla -e 'install.packages(c( "RPostgreSQL", \ - # "DBI", \ - # "lubridate", \ - # "RSQLite", \ - # "magrittr", \ - # "zoo", \ - # "functional", \ - # "moments", \ - # "fpc", \ - # "RcppRoll", \ - # "cowplot", \ - # "tsne", \ - # "config", \ - # "factoextra", \ - # "NMF", \ - # "ggcorrplot", \ - # "umap"), repos="http://cran.r-project.org")' CMD ["python"] \ No newline at end of file From e56499c76bd0e94e9667d8a4c62e0c6e15d4d3cc Mon Sep 17 00:00:00 2001 From: Eugene Fedorenko Date: Wed, 2 Oct 2019 16:59:52 -0700 Subject: [PATCH 61/62] Review fixes --- .env.example | 6 +++++- docs/code_description.md | 4 ++-- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/.env.example b/.env.example index b7d0d5b5..2f62dad7 100644 --- a/.env.example +++ b/.env.example @@ -45,4 +45,8 @@ IMAGE_VERSION = '' # ACI Config ACI_CPU_CORES = '' ACI_MEM_GB = '' -ACI_DESCRIPTION = '' \ No newline at end of file +ACI_DESCRIPTION = '' + +# Optional. Used by a training pipeline with R on Databricks +DB_CLUSTER_ID = '' +DATABRICKS_COMPUTE_NAME = '' \ No newline at end of file diff --git a/docs/code_description.md b/docs/code_description.md index 2d5c7d10..bd094ce0 100644 --- a/docs/code_description.md +++ b/docs/code_description.md @@ -20,10 +20,10 @@ ### ML Services -- `ml_service/pipelines/build_train_pipeline.py` : builds and publishes an ML training pipeline. It uses Pyhton on ML Compute. +- `ml_service/pipelines/build_train_pipeline.py` : builds and publishes an ML training pipeline. It uses Python on ML Compute. - `ml_service/pipelines/build_train_pipeline_with_r.py` : builds and publishes an ML training pipeline. It uses R on ML Compute. - `ml_service/pipelines/build_train_pipeline_with_r_on_dbricks.py` : builds and publishes an ML training pipeline. It uses R on Databricks Compute. -- `ml_service/pipelines/run_train_pipeline.py` : invokes a published ML training pipeline (Pyhton on ML Compute) via REST API. +- `ml_service/pipelines/run_train_pipeline.py` : invokes a published ML training pipeline (Python on ML Compute) via REST API. - `ml_service/util` : contains common utility functions used to build and publish an ML training pipeline. ### Code From a55b744dc74b652814d5be1025af4a01c1a4cfb0 Mon Sep 17 00:00:00 2001 From: David Tesar Date: Tue, 15 Oct 2019 09:37:42 -0700 Subject: [PATCH 62/62] Fix typo --- docs/getting_started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/getting_started.md b/docs/getting_started.md index 6a419524..2d041de8 100644 --- a/docs/getting_started.md +++ b/docs/getting_started.md @@ -110,7 +110,7 @@ and checkout a published training pipeline in the **mlops-AML-WS** workspace in Great, you now have the build pipeline setup, you can either manually trigger it or it gets automatically triggered everytime there is a change in the master branch. The pipeline performs linting, unit testing, builds and publishes an **ML Training Pipeline** in an **ML Workspace** -**Note:** The building pipeline contains disabled steps to build and publish ML pipelines using R to train a model. Enable these steps if you want to play with this approcah. For the pipeline training a model with R on Databricks you have to manually create a Databricks cluster and attach it to the ML Workspace as a compute (Values DB_CLUSTER_ID and DATABRICKS_COMPUTE_NAME variables shoud be specified). +**Note:** The building pipeline contains disabled steps to build and publish ML pipelines using R to train a model. Enable these steps if you want to play with this approach. For the pipeline training a model with R on Databricks you have to manually create a Databricks cluster and attach it to the ML Workspace as a compute (Values DB_CLUSTER_ID and DATABRICKS_COMPUTE_NAME variables shoud be specified). ### 7. Train the Model