Commit e1d96692 authored by Peter Lin's avatar Peter Lin Committed by Sujen

fix output header

parent f6092ac5
......@@ -18,7 +18,7 @@
"installation": [
{
"type": "PIP",
"package_uri": "git+https://gitlab.com/d3m-perspectalabs-primitives/lupi_rf.git@3b5b8365792b70740ded86b98d31fbe9929d75b9#egg=lupi_rf"
"package_uri": "git+https://gitlab.com/d3m-perspectalabs-primitives/lupi_rf.git@33ec8a7e6d4c1a33df16a42849bebe2c4dfebe69#egg=lupi_rf"
}
],
"schema": "https://metadata.datadrivendiscovery.org/schemas/v0/primitive.json",
......@@ -673,5 +673,5 @@
},
"structural_type": "lupi_rf.lupi_rf.LupiRFClassifier",
"description": "This is an implementation of the LUPI with RandomForest primitive. It can solve binary classification tasks with privileged information (i.e., additional features available for training dataset, but absent for test dataset).\nThe training dataset should provide a list of the indices indicating the features are privileged.\nThe test data (or the unlabeled data to predict) should not have the privileged features.\nThe values of the features in dataset need to be numerical, the label classes to be predicted should be categorical,\nand the missing values need to be imputed.\n\nAttributes\n----------\nmetadata : PrimitiveMetadata\n Primitive's metadata. Available as a class attribute.\nlogger : Logger\n Primitive's logger. Available as a class attribute.\nhyperparams : Hyperparams\n Hyperparams passed to the constructor.\nrandom_seed : int\n Random seed passed to the constructor.\ndocker_containers : Dict[str, DockerContainer]\n A dict mapping Docker image keys from primitive's metadata to (named) tuples containing\n container's address under which the container is accessible by the primitive, and a\n dict mapping exposed ports to ports on that address.\nvolumes : Dict[str, str]\n A dict mapping volume keys from primitive's metadata to file and directory paths\n where downloaded and extracted files are available to the primitive.\ntemporary_directory : str\n An absolute path to a temporary directory a primitive can use to store any files\n for the duration of the current pipeline run phase. Directory is automatically\n cleaned up after the current pipeline run phase finishes.",
"digest": "bccc54abf324ae177679c07808f9ee998a2cb7d6c3a101ec4f5984f9cc794364"
"digest": "c9e624d915c8d904dae1750ec306c8a628b50f0e605fc4ea916b70e641051247"
}
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