keep metric in repo

modules/ml-pipeline/src/pipeline/src/configs/prepare_data.yaml

@@ -1,6 +1,6 @@
 dataclient_type: minio
 data_location: s3://dev_bucket
-train_proportion: 0.75
+train_proportion: 0.2
 output_train_filepath: ./data/prepared_data/train.parquet
 output_test_filepath: ./data/prepared_data/test.parquet
 

modules/ml-pipeline/src/pipeline/src/dvc.lock

@@ -11,12 +11,12 @@ stages:
       configs/prepare_data.yaml:
         output_test_filepath: ./data/prepared_data/test.parquet
         output_train_filepath: ./data/prepared_data/train.parquet
-        train_proportion: 0.75
+        train_proportion: 0.2
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: 5cededc181e2b86c8ff63498a3e79462.dir
-      size: 36481
+      md5: b9dd6ec988430bd4d4ec08824bf43b70.dir
+      size: 36061
       nfiles: 2
   build_model:
     cmd: python build_model.py
@@ -27,8 +27,8 @@ stages:
       size: 3576
     - path: data/prepared_data
       hash: md5
-      md5: 5cededc181e2b86c8ff63498a3e79462.dir
-      size: 36481
+      md5: b9dd6ec988430bd4d4ec08824bf43b70.dir
+      size: 36061
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -41,7 +41,7 @@ stages:
     outs:
     - path: data/model/
       hash: md5
-      md5: e4904765c79b0139ccb80d56ef044383.dir
+      md5: 2d4977388d8acf7a99bd6351ddb03d71.dir
       size: 1096
       nfiles: 1
   generate_predictions:
@@ -49,13 +49,13 @@ stages:
     deps:
     - path: data/model
       hash: md5
-      md5: e4904765c79b0139ccb80d56ef044383.dir
+      md5: 2d4977388d8acf7a99bd6351ddb03d71.dir
       size: 1096
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 5cededc181e2b86c8ff63498a3e79462.dir
-      size: 36481
+      md5: b9dd6ec988430bd4d4ec08824bf43b70.dir
+      size: 36061
       nfiles: 2
     - path: generate_predictions.py
       hash: md5
@@ -68,21 +68,21 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: d78af354c4ecb0b0296ac093e515a01b.dir
-      size: 2734
+      md5: 25c8d2bd3ce9d1ab09c68aef722babad.dir
+      size: 4987
       nfiles: 1
   generate_metrics:
     cmd: python generate_metrics.py
     deps:
     - path: data/predictions
       hash: md5
-      md5: d78af354c4ecb0b0296ac093e515a01b.dir
-      size: 2734
+      md5: 25c8d2bd3ce9d1ab09c68aef722babad.dir
+      size: 4987
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 5cededc181e2b86c8ff63498a3e79462.dir
-      size: 36481
+      md5: b9dd6ec988430bd4d4ec08824bf43b70.dir
+      size: 36061
       nfiles: 2
     - path: generate_metrics.py
       hash: md5
@@ -95,5 +95,5 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: a32cd5e65ca89db0920297a7c6ca39bf
+      md5: e7c575cadca7fe73d9b7659b71457815
       size: 182

modules/ml-pipeline/src/pipeline/src/metrics/.gitignore

@@ -1 +0,0 @@
-/metrics.json

modules/ml-pipeline/src/pipeline/src/metrics/metrics.json

@@ -0,0 +1 @@
+{"mean_absolute_error": 46.93719007928077, "median_absolute_error": 40.45077035567739, "mean_squared_error": 3288.600558310513, "mean_absolute_percentage_error": 0.45448480340645764}