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alkaline-ml / scikit-learn python

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scikit-learn / tree / _utils.pypy36-pp73-x86_64-linux-gnu.so
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*(__pyx_t_7sklearn_4tree_6_utils_SIZE_t **, size_t)unsigned char *(unsigned char **, size_t)struct __pyx_t_7sklearn_4tree_6_utils_WeightedPQueueRecord *(struct __pyx_t_7sklearn_4tree_6_utils_WeightedPQueueRecord **, size_t)__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t *(__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t **, size_t)__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t **(__pyx_t_7sklearn_4tree_6_utils_DOUBLE_t ***, size_t)struct __pyx_t_7sklearn_4tree_5_tree_Node *(struct __pyx_t_7sklearn_4tree_5_tree_Node **, size_t)struct __pyx_t_7sklearn_9neighbors_10_quad_tree_Cell *(struct __pyx_t_7sklearn_9neighbors_10_quad_tree_Cell **, size_t)struct __pyx_t_7sklearn_4tree_5_tree_Node **(struct __pyx_t_7sklearn_4tree_5_tree_Node ***, size_t)struct __pyx_t_7sklearn_4tree_6_utils_StackRecord *(struct __pyx_t_7sklearn_4tree_6_utils_StackRecord **, size_t)struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord *(struct __pyx_t_7sklearn_4tree_6_utils_PriorityHeapRecord **, size_t)sklearn/neighbors/_quad_tree.pxd__pyx_t_7sklearn_5utils_7_random_UINT32_t_ARRAY_API is not PyCapsule objectmodule compiled against ABI version 0x%x but this version of numpy is 0x%xmodule compiled against API version 0x%x but this version of numpy is 0x%xFATAL: module compiled as unknown endianFATAL: module compiled as little endian, but detected different endianness at runtimePyArrayObject *(__pyx_t_7sklearn_4tree_6_utils_SIZE_t *, __pyx_t_7sklearn_4tree_6_utils_SIZE_t)sklearn.tree._utils._memoryviewsliceInternal class for passing memoryview slices to Pythonsklearn.tree._utils.memoryviewsklearn.tree._utils.WeightedMedianCalculatorA class to handle calculation of the weighted median from streams of
    data. To do so, it maintains a parameter ``k`` such that the sum of the
    weights in the range [0,k) is greater than or equal to half of the total
    weight. By minimizing the value of ``k`` that fulfills this constraint,
    calculating the median is done by either taking the value of the sample
    at index ``k-1`` of ``samples`` (samples[k-1].data) or the average of
    the samples at index ``k-1`` and ``k`` of ``samples``
    ((samples[k-1] + samples[k]) / 2).

    Attributes
    ----------
    initial_capacity : SIZE_t
        The initial capacity of the WeightedMedianCalculator.

    samples : WeightedPQueue
        Holds the samples (consisting of values and their weights) used in the
        weighted median calculation.

    total_weight : DOUBLE_t
        The sum of the weights of items in ``samples``. Represents the total
        weight of all samples used in the median calculation.

    k : SIZE_t
        Index used to calculate the median.

    sum_w_0_k : DOUBLE_t
        The sum of the weights from samples[0:k]. Used in the weighted
        median calculation; minimizing the value of ``k`` such that
        ``sum_w_0_k`` >= ``total_weight / 2`` provides a mechanism for
        calculating the median in constant time.

    sklearn.tree._utils.WeightedPQueueA priority queue class, always sorted in increasing order.

    Attributes
    ----------
    capacity : SIZE_t
        The capacity of the priority queue.

    array_ptr : SIZE_t
        The water mark of the priority queue; the priority queue grows from
        left to right in the array ``array_``. ``array_ptr`` is always
        less than ``capacity``.

    array_ : WeightedPQueueRecord*
        The array of priority queue records. The minimum element is on the
        left at index 0, and the maximum element is on the right at index
        ``array_ptr-1``.
    sklearn.tree._utils.PriorityHeapA priority queue implemented as a binary heap.

    The heap invariant is that the impurity improvement of the parent record
    is larger then the impurity improvement of the children.

    Attributes
    ----------
    capacity : SIZE_t
        The capacity of the heap

    heap_ptr : SIZE_t
        The water mark of the heap; the heap grows from left to right in the
        array ``heap_``. The following invariant holds ``heap_ptr < capacity``.

    heap_ : PriorityHeapRecord*
        The array of heap records. The maximum element is on the left;
        the heap grows from left to right
    A LIFO data structure.

    Attributes
    ----------
    capacity : SIZE_t
        The elements the stack can hold; if more added then ``self.stack_``
        needs to be resized.

    top : SIZE_t
        The number of elements currently on the stack.

    stack : StackRecord pointer
        The stack of records (upward in the stack corresponds to the right).
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