module grammar.grammar_sklearn.grammar.gtypes#
Short summary#
module mlprodict.grammar.grammar_sklearn.grammar.gtypes
Types definition.
Classes#
class |
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Base class for numerical types. |
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A numpy.bool. |
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A numpy.float32. |
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A numpy.float64. |
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A numpy.int32. |
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A numpy.int64. |
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int32 or float32 |
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Defines a tensor with a dimension and a single type for what it contains. |
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Base class for every type. |
Properties#
property |
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Returns ctype. |
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Returns ctype. |
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Returns ctype. |
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Returns ctype. |
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Returns ctype. |
Returns ctype. |
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Returns ctype. |
Methods#
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Converts value into this type. |
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Exports value into this type. |
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Exports value into this type. |
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Exports value into this type. |
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Exports value into this type. |
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Exports value into this type. |
Exports value into this type. |
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Converts value into this type. |
Converts value into this type. |
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Exports value into this type, does it anyway without verification. |
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Exports value into this type, does it anyway without verification. |
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Exports value into this type, does it anyway without verification. |
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Exports value into this type, does it anyway without verification. |
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Exports value into this type, does it anyway without verification. |
Exports value into this type, does it anyway without verification. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
Checks that the value is of this type. |
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Checks that the value is of this type. |
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Checks that the value is of this type. |
Documentation#
Types definition.
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumType#
Bases:
MLTypeBase class for numerical types.
- _copy_c(src, dst, hook=None)#
- _format_value_c(value, hook=None)#
- _format_value_json(value, hook=None)#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeBool#
Bases:
MLNumTypeSingleA numpy.bool.
- __init__()#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeFloat32#
Bases:
MLNumTypeSingleA numpy.float32.
- __init__()#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeFloat64#
Bases:
MLNumTypeSingleA numpy.float64.
- __init__()#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeInt32#
Bases:
MLNumTypeSingleA numpy.int32.
- __init__()#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeInt64#
Bases:
MLNumTypeSingleA numpy.int64.
- __init__()#
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLNumTypeSingle(numpy_type, name, ctype, key)#
Bases:
MLNumTypeint32 or float32
- property CTypeSingle#
Returns ctype.
- __init__(numpy_type, name, ctype, key)#
- _byref_c()#
- _export_c(hook=None, result_name=None)#
- _export_common_c(ctype, hook=None, result_name=None)#
- _export_json(hook=None, result_name=None)#
- _format_value_c(value, hook=None)#
- _format_value_json(value, hook=None)#
- cast(value)#
Exports value into this type.
- softcast(value)#
Exports value into this type, does it anyway without verification.
- validate(value)#
Checks that the value is of this type.
- class mlprodict.grammar.grammar_sklearn.grammar.gtypes.MLTensor(element_type, dim)#
Bases:
MLTypeDefines a tensor with a dimension and a single type for what it contains.
- property CTypeSingle#
Returns ctype.
- __init__(element_type, dim)#
- _byref_c()#
- _copy_c(src, dest, hook=None)#
- _export_c(hook=None, result_name=None)#
- _export_json(hook=None, result_name=None)#
- _format_value_c(value, hook=None)#
- _format_value_json(value, hook=None)#
- validate(value)#
Checks that the value is of this type.