Created
June 6, 2017 17:11
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CoreML Serialization
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| In [1]: %paste | |
| from sklearn.datasets import load_iris | |
| from sklearn import tree | |
| import coremltools | |
| iris = load_iris() | |
| clf = tree.DecisionTreeClassifier() | |
| clf = clf.fit(iris.data, iris.target) | |
| ## -- End pasted text -- | |
| In [2]: coremltools.converters.sklearn.convert(clf) | |
| Out[2]: | |
| input { | |
| name: "input" | |
| type { | |
| multiArrayType { | |
| shape: 4 | |
| } | |
| } | |
| } | |
| output { | |
| name: "classLabel" | |
| type { | |
| int64Type { | |
| } | |
| } | |
| } | |
| output { | |
| name: "classProbability" | |
| type { | |
| dictionaryType { | |
| int64KeyType { | |
| } | |
| } | |
| } | |
| } | |
| predictedFeatureName: "classLabel" | |
| predictedProbabilitiesName: "classProbability" |
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