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Version:
1.2.0 ▾
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ÉÿÿyÉÿÿmÉÿÿ@ßÿÿ@ãÿÿ ãÿÿôâÿÿèâÿÿÜâÿÿÐâÿÿ/ßÿÿ;ãÿÿcãÿÿãÿÿ³ãÿÿÛãÿÿ __pyx_fatalerror sklearn.ensemble._hist_gradient_boosting._predictor unable to allocate shape and strides. numpy.core.umath failed to import no default __reduce__ due to non-trivial __cinit__ got differing extents in dimension %d (got %d and %d) Unable to convert item to object Total weight should be 1.0 but was %.9f Out of bounds on buffer access (axis %d) Invalid mode, expected 'c' or 'fortran', got %s Indirect dimensions not supported Incompatible checksums (0x%x vs (0xb068931, 0x82a3537, 0x6ae9995) = (name)) Empty shape tuple for cython.array Cannot create writable memory view from read-only memoryview Cannot assign to read-only memoryview Can only create a buffer that is contiguous in memory. Buffer view does not expose strides sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx numpy.core.multiarray failed to import <strided and direct or indirect> unable to allocate array data. itemsize <= 0 for cython.array _compute_partial_dependence Invalid shape in axis %d: %d. _predict_from_binned_data Cannot index with type '%s' <contiguous and indirect> binned_left_cat_bitsets <MemoryView of %r at 0x%x> missing_values_bin_idx <MemoryView of %r object> _predict_from_raw_data <contiguous and direct> <strided and indirect> raw_left_cat_bitsets <strided and direct> cline_in_traceback __pyx_unpickle_Enum known_cat_bitsets is_target_feature left_sample_frac current_node_idx target_features __setstate_cython__ __pyx_PickleError dtype_is_object allocate_buffer View.MemoryView node_idx_stack current_weight __reduce_cython__ __pyx_getbuffer weight_stack total_weight stringsource __pyx_checksum numeric_data current_node feature_idx binned_data PickleError MemoryError ImportError stack_size sample_idx __pyx_vtable__ __pyx_result ValueError IndexError __reduce_ex__ __pyx_state n_threads f_idx_map enumerate TypeError __setstate__ __pyx_type itemsize __getstate__ Ellipsis memview fortran Y_DTYPE update unpack uint32 struct __reduce__ pickle __name__ __import__ format encode common zeros start shape range numpy nodes flags error dtype __class__ ASCII __test__ stop step size pack ndim name mode __main__ __dict__ base out obj __new__ np id i c X O %.200s() takes %.8s %zd positional argument%.1s (%zd given) Buffer dtype mismatch, expected %s%s%s but got %s Buffer dtype mismatch, expected '%s' but got %s in '%s.%s' while calling a Python object NULL result without error in PyObject_Call memviewslice is already initialized! %.200s.%.200s is not a type object %.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject %s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject Interpreter change detected - this module can only be loaded into one interpreter per process. %s() got multiple values for keyword argument '%U' %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' Unexpected format string character: '%c' Acquisition count is %d (line %d) Cannot convert %.200s to %.200s Unable to initialize pickling for %s __int__ returned non-int (type %.200s). The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python. __%.4s__ returned non-%.4s (type %.200s) value too large to convert to int can't convert negative value to unsigned char value too large to convert to unsigned char calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException '%.200s' object is not subscriptable cannot fit '%.200s' into an index-sized integer sklearn/ensemble/_hist_gradient_boosting/_predictor.c View.MemoryView.memoryview.itemsize.__get__ View.MemoryView.memoryview.ndim.__get__ View.MemoryView.get_slice_from_memview View.MemoryView.memoryview.is_f_contig View.MemoryView.memoryview.is_c_contig View.MemoryView.array.memview.__get__ sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx Module '_predictor' has already been imported. Re-initialisation is not supported. sklearn.ensemble._hist_gradient_boosting._predictor compiletime version %s of module '%.100s' does not match runtime version %s sklearn.ensemble._hist_gradient_boosting._bitset %.200s does not export expected C function %.200s unsigned char (__Pyx_memviewslice, __pyx_t_7sklearn_8ensemble_23_hist_gradient_boosting_6common_X_BINNED_DTYPE_C, unsigned int) C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s) init sklearn.ensemble._hist_gradient_boosting._predictor View.MemoryView.memoryview_cwrapper View.MemoryView.memoryview.size.__get__ View.MemoryView.memoryview.nbytes.__get__ View.MemoryView.memoryview.suboffsets.__get__ View.MemoryView.memoryview.shape.__get__ View.MemoryView.memoryview_fromslice View.MemoryView.memoryview_copy_from_slice View.MemoryView.memoryview.__str__ View.MemoryView.memoryview.__repr__ View.MemoryView.memoryview.setitem_indexed View.MemoryView.assert_direct_dimensions View.MemoryView.memoryview.setitem_slice_assign_scalar View.MemoryView.array.__getattr__ View.MemoryView.array.__setitem__ Subscript deletion not supported by %.200s View.MemoryView.array.__getitem__ View.MemoryView.array.get_memview View.MemoryView._memoryviewslice.__setstate_cython__ View.MemoryView._memoryviewslice.__reduce_cython__ View.MemoryView.memoryview.__setstate_cython__ View.MemoryView.memoryview.__reduce_cython__ View.MemoryView.memoryview.__cinit__ View.MemoryView.array.__setstate_cython__ View.MemoryView.array.__reduce_cython__ View.MemoryView.memoryview.strides.__get__ View.MemoryView.memoryview.assign_item_from_object View.MemoryView._memoryviewslice.assign_item_from_object PyObject_GetBuffer: view==NULL argument is obsolete View.MemoryView.memoryview.__getbuffer__ View.MemoryView.memoryview.is_slice 'NoneType' object is not subscriptable hasattr(): attribute name must be string View.MemoryView.__pyx_unpickle_Enum__set_state View.MemoryView.Enum.__setstate_cython__ View.MemoryView.array.__getbuffer__ View.MemoryView.Enum.__reduce_cython__ All dimensions preceding dimension %d must be indexed and not sliced View.MemoryView.slice_memviewslice Step may not be zero (axis %d) local variable '%s' referenced before assignment Cannot transpose memoryview with indirect dimensions View.MemoryView.transpose_memslice View.MemoryView.memoryview_copy View.MemoryView.memoryview.T.__get__ View.MemoryView.copy_data_to_temp View.MemoryView.memoryview_copy_contents Cannot copy memoryview slice with indirect dimensions (axis %d) View.MemoryView.array_cwrapper View.MemoryView.memoryview.copy_fortran View.MemoryView.memoryview.copy View.MemoryView.memoryview.setitem_slice_assignment too many values to unpack (expected %zd) need more than %zd value%.1s to unpack 'NoneType' object is not iterable View.MemoryView.memoryview.__getitem__ View.MemoryView.memoryview.__setitem__ integer division or modulo by zero value too large to perform division View.MemoryView.pybuffer_index View.MemoryView.memoryview.get_item_pointer Argument '%.200s' has incorrect type (expected %.200s, got %.200s) View.MemoryView.array.__cinit__ Argument '%.200s' must not be None object of type 'NoneType' has no len() expected bytes, NoneType found View.MemoryView.memoryview.convert_item_to_object View.MemoryView._memoryviewslice.convert_item_to_object View.MemoryView.__pyx_unpickle_Enum Expected a dimension of size %zu, got %zu Expected %d dimensions, got %d Python does not define a standard format string size for long double ('g').. Buffer dtype mismatch; next field is at offset %zd but %zd expected Big-endian buffer not supported on little-endian compiler Buffer acquisition: Expected '{' after 'T' Cannot handle repeated arrays in format string Does not understand character buffer dtype format string ('%c') Expected a dimension of size %zu, got %d Expected a comma in format string, got '%c' Expected %d dimension(s), got %d Unexpected end of format string, expected ')' Buffer has wrong number of dimensions (expected %d, got %d) Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s) Buffer is not indirectly contiguous in dimension %d. Buffer and memoryview are not contiguous in the same dimension. C-contiguous buffer is not contiguous in dimension %d C-contiguous buffer is not indirect in dimension %d Buffer exposes suboffsets but no strides Buffer not compatible with direct access in dimension %d. Buffer is not indirectly accessible in dimension %d. sklearn.ensemble._hist_gradient_boosting._predictor._predict_from_raw_data sklearn.ensemble._hist_gradient_boosting._predictor._compute_partial_dependence sklearn.ensemble._hist_gradient_boosting._predictor._predict_from_binned_data sklearn.ensemble._hist_gradient_boosting._predictor._memoryviewslice Internal class for passing memoryview slices to Python sklearn.ensemble._hist_gradient_boosting._predictor.memoryview sklearn.ensemble._hist_gradient_boosting._predictor.Enum sklearn.ensemble._hist_gradient_boosting._predictor.array ð?+ÙÎ÷ï?j¼tð?;4
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For each sample in ``X`` a tree traversal is performed.
Each traversal starts from the root with weight 1.0.
At each non-leaf node that splits on a target feature, either
the left child or the right child is visited based on the feature
value of the current sample, and the weight is not modified.
At each non-leaf node that splits on a complementary feature,
both children are visited and the weight is multiplied by the fraction
of training samples which went to each child.
At each leaf, the value of the node is multiplied by the current
weight (weights sum to 1 for all visited terminal nodes).
Parameters
----------
nodes : view on array of PREDICTOR_RECORD_DTYPE, shape (n_nodes)
The array representing the predictor tree.
X : view on 2d ndarray, shape (n_samples, n_target_features)
The grid points on which the partial dependence should be
evaluated.
target_features : view on 1d ndarray, shape (n_target_features)
The set of target features for which the partial dependence
should be evaluated.
out : view on 1d ndarray, shape (n_samples)
The value of the partial dependence function on each grid
point.
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