Merge branch 'gator_smaller_pipeline_runs' into 'master'

add smaller pipeline runs for gator image classification primitive

See merge request !147

.gitattributes

@@ -127,3 +127,5 @@ v2020.1.9/ISI/d3m.primitives.time_series_forecasting.arima.DSBOX/1.5.3/pipeline_
 v2020.1.9/ISI/d3m.primitives.data_preprocessing.dataframe_to_tensor.DSBOX/1.5.3/pipeline_runs/pipeline_run_2.yaml.gz filter=lfs diff=lfs merge=lfs -text
 v2020.1.9/ISI/d3m.primitives.classification.lstm.DSBOX/1.5.3/pipeline_runs/pipeline_run_1.yaml.gz filter=lfs diff=lfs merge=lfs -text
 v2020.1.9/ISI/d3m.primitives.feature_extraction.vgg16_image_feature.DSBOX/1.5.3/pipeline_runs/pipeline_run_1.yaml.gz filter=lfs diff=lfs merge=lfs -text
+v2020.1.9/Distil/d3m.primitives.digital_image_processing.convolutional_neural_net.Gator/1.0.2/pipeline_runs/uu_101_object_categories_MIN_METADATA_validation.yml filter=lfs diff=lfs merge=lfs -text
+v2020.1.9/Distil/d3m.primitives.digital_image_processing.convolutional_neural_net.Gator/1.0.2/pipeline_runs/uu_101_object_categories_MIN_METADATA_small_sample.yml filter=lfs diff=lfs merge=lfs -text

v2020.1.9/Distil/d3m.primitives.digital_image_processing.convolutional_neural_net.Gator/1.0.2/pipelines/1c235cec-9948-4e71-89c4-5d14364e42e1.json

+{"id": "1c235cec-9948-4e71-89c4-5d14364e42e1", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "created": "2020-01-21T19:04:14.805907Z", "inputs": [{"name": "inputs"}], "outputs": [{"data": "steps.7.produce", "name": "output predictions"}], "steps": [{"type": "PRIMITIVE", "primitive": {"id": "f31f8c1f-d1c5-43e5-a4b2-2ae4a761ef2e", "version": "0.2.0", "python_path": "d3m.primitives.data_transformation.denormalize.Common", "name": "Denormalize datasets", "digest": "5ac405757790f53ed8bfdf782ea5805c3d115dca1df1d1479c6478c6d3038340"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "inputs.0"}}, "outputs": [{"id": "produce"}]}, {"type": "PRIMITIVE", "primitive": {"id": "268315c1-7549-4aee-a4cc-28921cba74c0", "version": "0.1.0", "python_path": "d3m.primitives.data_preprocessing.dataset_sample.Common", "name": "Dataset sampling primitive", "digest": "a05a01f5795c8630391f75455300a22eb7a7798b620d257d325b795240e4548a"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.0.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"sample_size": {"type": "VALUE", "data": {"case": "absolute", "value": 1000}}}}, {"type": "PRIMITIVE", "primitive": {"id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "name": "Extract a DataFrame from a Dataset", "digest": "422744651afd5995d029a227a1dd7b1696038816b7eb9601f37d661757812aee"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.1.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"dataframe_resource": {"type": "VALUE", "data": "learningData"}}}, {"type": "PRIMITIVE", "primitive": {"id": "d510cb7a-1782-4f51-b44c-58f0236e47c7", "version": "0.6.0", "python_path": "d3m.primitives.data_transformation.column_parser.Common", "name": "Parses strings into their types", "digest": "f1215fe3351a2e8bf495f9ed5ed50e88b30d78d4d7ebd9e13bb544e63a10994b"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"parse_semantic_types": {"type": "VALUE", "data": ["http://schema.org/Boolean", "http://schema.org/Integer", "http://schema.org/Float", "https://metadata.datadrivendiscovery.org/types/FloatVector"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.Common", "name": "Extracts columns by semantic type", "digest": "30cceb9812b430d6550d54766b4f674b68b92531fc2ad63f56818ea002399c13"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Attribute"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.Common", "name": "Extracts columns by semantic type", "digest": "30cceb9812b430d6550d54766b4f674b68b92531fc2ad63f56818ea002399c13"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.3.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"semantic_types": {"type": "VALUE", "data": ["https://metadata.datadrivendiscovery.org/types/Target", "https://metadata.datadrivendiscovery.org/types/TrueTarget", "https://metadata.datadrivendiscovery.org/types/SuggestedTarget"]}}}, {"type": "PRIMITIVE", "primitive": {"id": "475c26dc-eb2e-43d3-acdb-159b80d9f099", "version": "1.0.2", "python_path": "d3m.primitives.digital_image_processing.convolutional_neural_net.Gator", "name": "gator", "digest": "7c229cbcac9998c56a8793e4d523ee20f554107c445bb5acb3e21a73f1e737e2"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.4.produce"}, "outputs": {"type": "CONTAINER", "data": "steps.5.produce"}}, "outputs": [{"id": "produce"}], "hyperparams": {"unfreeze_proportions": {"type": "VALUE", "data": [0.5]}}}, {"type": "PRIMITIVE", "primitive": {"id": "8d38b340-f83f-4877-baaa-162f8e551736", "version": "0.3.0", "python_path": "d3m.primitives.data_transformation.construct_predictions.Common", "name": "Construct pipeline predictions output", "digest": "2994d9885ddeb72f5a47a8fb04e27fe3f684adebf7c5dc27cb56392475dbb29c"}, "arguments": {"inputs": {"type": "CONTAINER", "data": "steps.6.produce"}, "reference": {"type": "CONTAINER", "data": "steps.2.produce"}}, "outputs": [{"id": "produce"}]}], "digest": "1bda0ac5fb6485f564bd652c64fbdd25b54e2d216278fa1875ee6c4101818467"}
\ No newline at end of file