c71bf746-7f7e-4efb-b851-844ded3935e9.json 8.77 KB
Newer Older
Zijun Cui's avatar
Zijun Cui committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268
{
    "created": "2019-05-28T00:59:33.228000Z",
    "digest": "7cef6a8d42934a28e29a83fd6d17d19d7cd5ad63ac9f0f4501b1a0aee279f832",
    "id": "c71bf746-7f7e-4efb-b851-844ded3935e9",
    "inputs": [
        {
            "name": "inputs"
        }
    ],
    "outputs": [
        {
            "data": "steps.8.produce",
            "name": "output predictions"
        }
    ],
    "schema": "https://metadata.datadrivendiscovery.org/schemas/v0/pipeline.json",
    "steps": [
        {
            "arguments": {
                "inputs": {
                    "data": "inputs.0",
                    "type": "CONTAINER"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "748b3f6c9d26a4323a34a6da464c5de3dcab0d784a127819106acef1466e9550",
                "id": "4b42ce1e-9b98-4a25-b68e-fad13311eb65",
                "name": "Extract a DataFrame from a Dataset",
                "python_path": "d3m.primitives.data_transformation.dataset_to_dataframe.Common",
                "version": "0.3.0"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.0.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "columns": {
                    "data": [
                        65
                    ],
                    "type": "VALUE"
                },
                "semantic_types": {
                    "data": [
                        "https://metadata.datadrivendiscovery.org/types/Attribute"
                    ],
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "ecda17cbe2d71b20156467962846eeae1a7a5136e3520f36af42737b1e557834",
                "id": "3002bc5b-fa47-4a3d-882e-a8b5f3d756aa",
                "name": "Remove semantic types from columns",
                "python_path": "d3m.primitives.data_transformation.remove_semantic_types.DataFrameCommon",
                "version": "0.1.0"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.1.produce",
                    "type": "CONTAINER"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "6deed8e4798fd219f4745c4459ba67036ed25dbb1d3a2459b24416cd4460951e",
                "id": "d510cb7a-1782-4f51-b44c-58f0236e47c7",
                "name": "Parses strings into their types",
                "python_path": "d3m.primitives.data_transformation.column_parser.DataFrameCommon",
                "version": "0.5.0"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.2.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "semantic_types": {
                    "data": [
                        "https://metadata.datadrivendiscovery.org/types/Attribute"
                    ],
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
                "id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
                "name": "Extracts columns by semantic type",
                "python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
                "version": "0.2.0"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.2.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "semantic_types": {
                    "data": [
                        "https://metadata.datadrivendiscovery.org/types/TrueTarget"
                    ],
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "e1ef694b5642f037531be4f9a9c29aef62466b8e61dd8e174ccd673977761abb",
                "id": "4503a4c6-42f7-45a1-a1d4-ed69699cf5e1",
                "name": "Extracts columns by semantic type",
                "python_path": "d3m.primitives.data_transformation.extract_columns_by_semantic_types.DataFrameCommon",
                "version": "0.2.0"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.3.produce",
                    "type": "CONTAINER"
                },
                "outputs": {
                    "data": "steps.4.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "nbins": {
                    "data": 19,
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "650d410e567ec6e7c1507b056a09507a2f7d5a6ade15b6196478afef4d65e8b0",
                "id": "215f554e-15f4-4174-9743-03cddad91dc4",
                "name": "S2TMBplus feature selector",
                "python_path": "d3m.primitives.feature_selection.score_based_markov_blanket.RPI",
                "version": "v2019.4"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.5.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "strategy": {
                    "data": "most_frequent",
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "8c36c71cc0018d0566008dd256748672a4d686bf00174f2c17ae063238be7b29",
                "id": "d016df89-de62-3c53-87ed-c06bb6a23cde",
                "name": "sklearn.impute.SimpleImputer",
                "python_path": "d3m.primitives.data_cleaning.imputer.SKlearn",
                "version": "2019.4.4"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.6.produce",
                    "type": "CONTAINER"
                },
                "outputs": {
                    "data": "steps.4.produce",
                    "type": "CONTAINER"
                }
            },
            "hyperparams": {
                "n_estimators": {
                    "data": 28,
                    "type": "VALUE"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "b1c373d38eeffe7ca7e2fe12b7cae22b2518b9bef3cbf4c7b9167af3a972bee3",
                "id": "1dd82833-5692-39cb-84fb-2455683075f3",
                "name": "sklearn.ensemble.forest.RandomForestClassifier",
                "python_path": "d3m.primitives.classification.random_forest.SKlearn",
                "version": "2019.4.4"
            },
            "type": "PRIMITIVE"
        },
        {
            "arguments": {
                "inputs": {
                    "data": "steps.7.produce",
                    "type": "CONTAINER"
                },
                "reference": {
                    "data": "steps.0.produce",
                    "type": "CONTAINER"
                }
            },
            "outputs": [
                {
                    "id": "produce"
                }
            ],
            "primitive": {
                "digest": "bc09b1d3e656bbf5ed10a6b13382e8a52ffd18552f5803f28b25b79fbf25ca52",
                "id": "8d38b340-f83f-4877-baaa-162f8e551736",
                "name": "Construct pipeline predictions output",
                "python_path": "d3m.primitives.data_transformation.construct_predictions.DataFrameCommon",
                "version": "0.3.0"
            },
            "type": "PRIMITIVE"
        }
    ]
}