add new model

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

@@ -13,6 +13,6 @@ default:
       output_filepath: ./data/model/allmodels/
       problem_type: regression
       eval_metric: mean_squared_error #mean_absolute_error
-      time_limit: 1000
+      time_limit: 4000
       presets: medium_quality
       excluded_model_types: ['KNN', 'RF']

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

@@ -29,8 +29,8 @@ stages:
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: 71e63a792f7723e2aea0709efde1a92b.dir
-      size: 31751660
+      md5: e0be70d5025e40dd0d655d9949f72130.dir
+      size: 31800776
       nfiles: 2
   build_model:
     cmd: python 2_build_model.py
@@ -41,8 +41,8 @@ stages:
       size: 5359
     - path: data/prepared_data
       hash: md5
-      md5: 71e63a792f7723e2aea0709efde1a92b.dir
-      size: 31751660
+      md5: e0be70d5025e40dd0d655d9949f72130.dir
+      size: 31800776
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -58,7 +58,7 @@ stages:
               output_filepath: ./data/model/allmodels/
               problem_type: regression
               eval_metric: mean_squared_error
-              time_limit: 1000
+              time_limit: 4000
               presets: medium_quality
               excluded_model_types:
               - KNN
@@ -66,13 +66,13 @@ stages:
     outs:
     - path: data/model/
       hash: md5
-      md5: 0ffc51be7c8381c9e4106309e3e05ca3.dir
-      size: 345904743
+      md5: 14ca33cde5e86770135f768abaf84978.dir
+      size: 422447808
       nfiles: 27
     - path: metrics/fit_metrics.json
       hash: md5
-      md5: 3d4ff3a3ca3c327e2c1e9aa1338c18ce
-      size: 220
+      md5: 41bfb8d2da8f06d1864d73ce125cc6aa
+      size: 221
   generate_predictions:
     cmd: python 3_generate_predictions.py
     deps:
@@ -82,13 +82,13 @@ stages:
       size: 3028
     - path: data/model
       hash: md5
-      md5: 0ffc51be7c8381c9e4106309e3e05ca3.dir
-      size: 345904743
+      md5: 14ca33cde5e86770135f768abaf84978.dir
+      size: 422447808
       nfiles: 27
     - path: data/prepared_data
       hash: md5
-      md5: 71e63a792f7723e2aea0709efde1a92b.dir
-      size: 31751660
+      md5: e0be70d5025e40dd0d655d9949f72130.dir
+      size: 31800776
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -100,8 +100,8 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: 00ff804016290d56e1490e59c098b060.dir
-      size: 351811
+      md5: 40d0c7a7fd4a15add0615e322cf341a0.dir
+      size: 352151
       nfiles: 1
   generate_metrics:
     cmd: python 4_generate_metrics.py
@@ -112,13 +112,13 @@ stages:
       size: 4487
     - path: data/predictions
       hash: md5
-      md5: 00ff804016290d56e1490e59c098b060.dir
-      size: 351811
+      md5: 40d0c7a7fd4a15add0615e322cf341a0.dir
+      size: 352151
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 71e63a792f7723e2aea0709efde1a92b.dir
-      size: 31751660
+      md5: e0be70d5025e40dd0d655d9949f72130.dir
+      size: 31800776
       nfiles: 2
     params:
       configs/settings.yaml:
@@ -128,8 +128,8 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: 63ef63e4fabe929b914a0059ceeddabc
-      size: 221
+      md5: 4e023650240e78d6ad761f1db7aac922
+      size: 220
   startup_cleanup:
     cmd: python 0_startup_cleanup.py
     deps: