Commit fecec8a3 authored by David M Johnson's avatar David M Johnson

Michigan bugfixing.

parent f21969eb
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...@@ -60,10 +60,10 @@ ...@@ -60,10 +60,10 @@
"type": "PRIMITIVE", "type": "PRIMITIVE",
"primitive": { "primitive": {
"id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1", "id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
"version": "0.2.0", "version": "0.3.0",
"python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon", "python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
"name": "Extracts columns by semantic type", "name": "Extracts columns by semantic type",
"digest": "d4fa27a3e215b89d2231d344ec0202e1b8e41ad322deb79c68fd6ca673eae3f7" "digest": "ea473cf02c17ae9d2610be746cb726d91991bc6e39c0c85d1b1550eacd1581be"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -92,7 +92,7 @@ ...@@ -92,7 +92,7 @@
"version": "0.1.0", "version": "0.1.0",
"python_path": "d3m.primitives.data_transformation.dataframe_to_ndarray.Common", "python_path": "d3m.primitives.data_transformation.dataframe_to_ndarray.Common",
"name": "DataFrame to ndarray converter", "name": "DataFrame to ndarray converter",
"digest": "32594c9a3c9bdc6315463fa8c169b18379b7fda7115354360de0d96298cf1960" "digest": "766360bfe2af3b5a9f94ff3d5edbafb6ac8a334f56660bdddfdea70c7542c209"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -113,7 +113,7 @@ ...@@ -113,7 +113,7 @@
"version": "0.0.5", "version": "0.0.5",
"python_path": "d3m.primitives.clustering.ssc_cvx.Umich", "python_path": "d3m.primitives.clustering.ssc_cvx.Umich",
"name": "SSC_CVX", "name": "SSC_CVX",
"digest": "14273cb74679d0f54792eeac8f091d6fed58e53e163e586006ca7cb34cebf67b" "digest": "c331c55c1f2901d1159b573984b6a1fa50f74c29d7baf64c4788f3cb314ca671"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -140,7 +140,7 @@ ...@@ -140,7 +140,7 @@
"version": "0.1.0", "version": "0.1.0",
"python_path": "d3m.primitives.data_transformation.ndarray_to_dataframe.Common", "python_path": "d3m.primitives.data_transformation.ndarray_to_dataframe.Common",
"name": "ndarray to Dataframe converter", "name": "ndarray to Dataframe converter",
"digest": "dbc4bbf143ee01a74a5c3f54ec5daae1b938ee3600fa748ca3d5efe6b013ccb7" "digest": "ec7afdcc833310158d8f4e7d09ae193655278a1ab4263b2233eb1146dd874ef7"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -161,7 +161,7 @@ ...@@ -161,7 +161,7 @@
"version": "0.3.0", "version": "0.3.0",
"python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon", "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
"name": "Construct pipeline predictions output", "name": "Construct pipeline predictions output",
"digest": "077921b0d6cee9bbda9494bc60c8b48f8287db8d0bff674056a7c9e5cc92ebb9" "digest": "0c744dd6ea7eafb9c143f70b40452c6238bc6cab06a070d50868822f904388d3"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -180,5 +180,5 @@ ...@@ -180,5 +180,5 @@
] ]
} }
], ],
"digest": "5ec141b20245135696e4715dbea4c535dcd329220b9fc9a37f4ff1e14f422dde" "digest": "3db2065c7c6154739f0d44b17200903432178ee049b6fdda8d3eff4021594b39"
} }
\ No newline at end of file
...@@ -21,7 +21,7 @@ ...@@ -21,7 +21,7 @@
"installation": [ "installation": [
{ {
"type": "PIP", "type": "PIP",
"package_uri": "git+https://github.com/dvdmjohnson/[email protected]200360b1a299664403b8d7d262c7cec6e29009b4#egg=spider" "package_uri": "git+https://github.com/dvdmjohnson/[email protected]1229b579b02a6c84b137f2d72c188da14af563c6#egg=spider"
}, },
{ {
"type": "UBUNTU", "type": "UBUNTU",
...@@ -295,5 +295,5 @@ ...@@ -295,5 +295,5 @@
} }
}, },
"structural_type": "spider.cluster.ssc_cvx.ssc_cvx.SSC_CVX", "structural_type": "spider.cluster.ssc_cvx.ssc_cvx.SSC_CVX",
"digest": "14273cb74679d0f54792eeac8f091d6fed58e53e163e586006ca7cb34cebf67b" "digest": "c331c55c1f2901d1159b573984b6a1fa50f74c29d7baf64c4788f3cb314ca671"
} }
{ {
"id": "df6d5c9e-c4b6-4923-bcbe-a6e498b0d9ec", "id": "d64b7dc7-9054-495b-a67e-55db18cad783",
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json", "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
"created": "2019-06-17T03:34:20.750332Z", "created": "2019-06-18T15:38:22.185843Z",
"inputs": [ "inputs": [
{ {
"name": "inputs" "name": "inputs"
...@@ -21,7 +21,7 @@ ...@@ -21,7 +21,7 @@
"version": "0.3.0", "version": "0.3.0",
"python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common", "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
"name": "Extract a DataFrame from a Dataset", "name": "Extract a DataFrame from a Dataset",
"digest": "e557fc176af67913ed241dbe793cf986439157cfe9c4a12f1aafcba3c07b8b6f" "digest": "4e971e251e548f1188c280c60f4e2f9a460865f21bcfd341114270bdafa4c4dc"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -42,7 +42,7 @@ ...@@ -42,7 +42,7 @@
"version": "0.5.0", "version": "0.5.0",
"python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon", "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
"name": "Parses strings into their types", "name": "Parses strings into their types",
"digest": "7e16e2b1e559690e221de471826d7d1cd36698bc5140dc00f3c7a6c6b711c3b2" "digest": "b14b7bcd1a54ee658a7093658eb4b6c9a1b029698f981fec7ad26408a0b5cf64"
}, },
"arguments": { "arguments": {
"inputs": { "inputs": {
...@@ -60,10 +60,10 @@ ...@@ -60,10 +60,10 @@