Model of the classifier trained by the stump.training.Batch algorithm.
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def __init__ |
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self, |
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args |
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- Variant 1
Empty constructor for deserialization
- Variant 2
Constructs the decision stump model
- Parameters
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nFeatures | Number of features in the dataset |
dummy | Dummy variable for the templated constructor |
- Deprecated:
- This item will be removed in a future release. Use Model.create instead.
- Allowed Types
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downCast(daal.services.SharedPtr< daal.algorithms.classifier.Model > const & r) -> daal.services.SharedPtr< daal.algorithms.stump.Model >
def getLeftSubsetAverage_{Float64|Float32} |
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self | ) |
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Returns an average of the weighted responses for the "left" subset
- Returns
- Average of the weighted responses for the "left" subset
- Full Names
getLeftSubsetAverage_Float64
is for float64
getLeftSubsetAverage_Float32
is for float32
def getNumberOfFeatures |
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self | ) |
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Retrieves the number of features in the dataset was used on the training stage
- Returns
- Number of features in the dataset was used on the training stage
def getRightSubsetAverage_{Float64|Float32} |
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self | ) |
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Returns an average of the weighted responses for the "right" subset
- Returns
- Average of the weighted responses for the "right" subset
- Full Names
getRightSubsetAverage_Float64
is for float64
getRightSubsetAverage_Float32
is for float32
def getSerializationTag |
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self | ) |
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getSerializationTag(Model self) -> int
def getSplitFeature |
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self | ) |
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Returns the split feature
- Returns
- Index of the feature over which the split is made
def getSplitValue_{Float64|Float32} |
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self | ) |
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Returns a value of the feature that defines the split
- Returns
- Value of the feature over which the split is made
- Full Names
getSplitValue_Float64
is for float64
getSplitValue_Float32
is for float32
def setLeftSubsetAverage_{Float64|Float32} |
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self, |
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leftSubsetAverage |
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Sets an average of the weighted responses for the "left" subset
- Parameters
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leftSubsetAverage | An average of the weighted responses for the "left" subset |
- Full Names
setLeftSubsetAverage_Float64
is for float64
setLeftSubsetAverage_Float32
is for float32
def setRightSubsetAverage_{Float64|Float32} |
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self, |
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rightSubsetAverage |
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Sets an average of the weighted responses for the "right" subset
- Parameters
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rightSubsetAverage | An average of the weighted responses for the "right" subset |
- Full Names
setRightSubsetAverage_Float64
is for float64
setRightSubsetAverage_Float32
is for float32
def setSplitFeature |
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self, |
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splitFeature |
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Sets the split feature
- Parameters
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splitFeature | Index of the split feature |
def setSplitValue_{Float64|Float32} |
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self, |
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splitValue |
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Sets a value of the feature that defines the split
- Parameters
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splitValue | Value of the split feature |
- Full Names
setSplitValue_Float64
is for float64
setSplitValue_Float32
is for float32
The documentation for this class was generated from the following file:
- algorithms/stump/__init__.py