hash stringlengths 64 64 | content stringlengths 0 225k |
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... |
0be0afb8d179bfaec14df2e9ef7e4a7bb3a1ff653e66fd9596f731347e747da0 |
import sys
import os
import platform
import shutil
from distutils.command.clean import clean as Clean
from pkg_resources import parse_versio... |
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... |
cc6b352c1dc2135e8721c3839296349d36f5ddaf97bb4f36434d94144aae05f3 |
import warnings
import numpy as np
import scipy.sparse as sp
from scipy.linalg import svd
from .base im... |
c2431bf3340ecc091e40ab12dd66ff14890870436d345b72c99ce9cd16493b0b |
"""Random Projection transformers
Random Projections are a simple and computationally efficient way to
reduce the dimensionality of the data by trading a controlled amount
of accuracy (as additional variance) for faster processing times and
smaller model sizes.
The dimensions and distribution of Ra... |
11608570d82cce66a484694e92b447ba1d175fecd3b584f169e27ba19e59f1e5 |
import numpy as np
from scipy import interpolate
from scipy.stats import spearmanr
from .base import BaseEstimator, TransformerMixi... |
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... |
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... |
b3eaa7542212ffae77c342a91ca6e8e4d71c9125bf8a51a694ac5c0a55866e07 |
import numpy as np
from .base import BaseEstimator, RegressorMixin, MultiOutputMixin
from .metrics.pairwi... |
5f8d3831377dc081c7013425560a20b654039043299ff39bac79bad2561f678e |
from __future__ import division
import warnings
import numbers
from time import time
from distutils.version import LooseVersion
import... |
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