jjerphan

import numpy as np

from .common import Benchmark


class MultiDotLogReg(Benchmark):
    """ Benchmark np.linalg.multi_dot on dense matrices for #19571
    """

    param_names = [

jjerphan

import numpy as np

from sklearn.neighbors import KDTree, BallTree
from .common import Benchmark


class BinaryTreeBenchmark(Benchmark):
    """
    Base class for BinaryTree benchmarks.
    """

jjerphan

import gc
import itertools
import time

import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

from sklearn.datasets import make_classification

jjerphan

    @pytest.mark.parametrize('nu', [1.6, 2.5, 3.9])
    @pytest.mark.parametrize('loc', [25.0, 10, 35])
    @pytest.mark.parametrize('scale', [13, 5, 20])
    def test_fit(self, nu, loc, scale):
        # Regression test for gh-13396 (21/27 cases failed previously)
        # The first tuple of the parameters' values is discussed in gh-10908
        N = 100
        samples = stats.nakagami.rvs(size=N, nu=nu, loc=loc,
                                     scale=scale, random_state=1337)
        nu_est, loc_est, scale_est = stats.nakagami.fit(samples)

jjerphan

import gc
import time

import numpy as np
import pandas as pd
from scipy import linalg

"""
A simple benchmark to know the performances of setting `check_finite`
to `False` for `linalg.cholesky`

jjerphan

ERROR 2020-07-29 11:54:39,805 slot 7664 139953135314752 setDirty called
ERROR 2020-07-29 11:54:39,806 slot 7664 139953135314752 self.stype.isConfigured
ERROR 2020-07-29 11:54:39,806 slot 7664 139953135314752 Number of Downstream_slots: 0
ERROR 2020-07-29 11:54:39,806 slot 7664 139953135314752 OpExportSlot.Input []:  {_ready : True, NOTREADY : None, shape : (511, 512, 512, 3), axistags : z y x c, original_axistags : z y x c, dtype : <class 'numpy.float32'>, drange : (0.0, 1.0), has_mask : None, _dirty : False, ideal_blockshape : [0, 0, 0, 3], display_mode : 'grayscale', channel_names : ['Gaussian Smoothing (σ=0.3) [0]', 'Gaussian Smoothing (σ=0.3) [1]', 'Gaussian Smoothing (σ=0.3) [2]', 'Gaussian Smoothing (σ=0.3) [3]', 'Gaussian Smoothing (σ=0.7) [0]', 'Gaussian Smoothing (σ=0.7) [1]', 'Gaussian Smoothing (σ=0.7) [2]', 'Gaussian Smoothing (σ=0.7) [3]', 'Gaussian Smoothing (σ=1.0) [0]', 'Gaussian Smoothing (σ=1.0) [1]', 'Gaussian Smoothing (σ=1.0) [2]', 'Gaussian Smoothing (σ=1.0) [3]', 'Gaussian Smoothing (σ=

jjerphan

import numpy as np
import itertools
import time
import seaborn as sns
import gc

import pandas as pd
from matplotlib import pyplot as plt
from sklearn.calibration import CalibratedClassifierCV
from sklearn.datasets import make_classification

jjerphan

Showing logs of joblib-dask-deadlock-test-server-5796bf7779-5pxcz
[2019-05-31 11:50:20,035] [8/MainThread] [INFO] [root] Launching a server
[2019-05-31 11:50:20,771] [9/MainThread] [INFO] [root] Distributed 1.28.0+15.g6ea010b imported
[2019-05-31 11:50:20,772] [9/MainThread] [INFO] [root] Git revision: 6ea010bcf21db7445bd26286966f59a7e75ab390
/usr/local/lib/python3.6/site-packages/bokeh/themes/theme.py:94: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  json = yaml.load(f)
[2019-05-31 11:50:21,488] [9/MainThread] [INFO] [root] Joblib 0.13.2 imported
[2019-05-31 11:50:21,818] [9/MainThread] [INFO] [root] setup_log() called
[2019-05-31 11:50:21,818] [9/MainThread] [INFO] [root] Installing debugging signal handler
[2019-05-31 11:50:21,819] [9/MainThread] [INFO] [root] Started reproducible example

jjerphan

Showing logs of joblib-dask-deadlock-test-server-5796bf7779-4dkw2
[2019-05-27 12:17:25,463] [8/MainThread] [INFO] [root] Launching a server
[2019-05-27 12:17:25,789] [9/MainThread] [INFO] [root] Joblib 0.13.2 imported
[2019-05-27 12:17:25,939] [9/MainThread] [DEBUG] [asyncio] Using selector: EpollSelector
[2019-05-27 12:17:26,152] [9/MainThread] [INFO] [root] Distributed 1.28.0+11.g715c05c imported
[2019-05-27 12:17:26,152] [9/MainThread] [INFO] [root] Git revision: 715c05c2449c55345821f9aecb52d62f6d0d4a3b
[2019-05-27 12:17:26,153] [9/MainThread] [INFO] [joblib.dask] _dask import (logger)
[2019-05-27 12:17:26,153] [9/MainThread] [INFO] [root] _dask import (logging)
/usr/local/lib/python3.6/site-packages/bokeh/themes/theme.py:94: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  json = yaml.load(f)

jjerphan

Showing logs of joblib-dask-deadlock-test-server-5796bf7779-6rnlc
[2019-05-23 15:58:21,433] [9/MainThread] [INFO] [root] Launching a server
[2019-05-23 15:58:21,701] [10/MainThread] [INFO] [root] Joblib 0.13.2 imported
[2019-05-23 15:58:22,291] [10/MainThread] [DEBUG] [asyncio] Using selector: EpollSelector
/usr/local/lib/python3.6/site-packages/bokeh/themes/theme.py:94: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details.
  json = yaml.load(f)
[2019-05-23 15:58:23,109] [10/MainThread] [INFO] [root] setup_log() called
[2019-05-23 15:58:23,109] [10/MainThread] [INFO] [root] Installing debugging signal handler
[2019-05-23 15:58:23,110] [10/MainThread] [INFO] [root] Started reproducible example
[2019-05-23 15:58:23,176] [10/MainThread] [INFO] [root] Dask Scheduler: starting on port 8786