cheevahagadog

#!/usr/bin/env python
# Python 3.6.4

import numpy as np
import pandas as pd
import iml
import xgboost
import shap
from tqdm import tqdm

MMesch

#!/usr/bin/env python

"""Mini implementation of continuous wavelet transform (Morlet wavelet)."""

import numpy as np
import matplotlib.pyplot as plt


def continuous_wavelet_transform(signal, frequencies, time_step=1.0,
                                 wavelet_width=5):

TomAugspurger

from urllib.parse import urlparse
import lightgbm as lgb
import threading


def _parse_machines(workers, listen_port):
    """From dask worker info to LightGBM mlist"""
    # TODO: Assert that we're using TCP?
    mlist = ['127.0.0.1:{}'.format(listen_port)] + [urlparse(worker).netloc
                                                    for worker in workers]

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

MMesch

#!/usr/bin/env python

"""
ND Bspline basis class for Python
"""

import numpy as np
import scipy.interpolate as si
import matplotlib.pyplot as plt
import itertools

MMesch

#!/usr/bin/env python
"""
Robust B-Spline regression with scikit-learn
"""

import matplotlib.pyplot as plt
import numpy as np
import scipy.interpolate as si
from sklearn.base import TransformerMixin
from sklearn.pipeline import make_pipeline

MMesch

#!/usr/bin/env python
"""
Robust non-linear feature estimation with scikit-learn applied to
the Fourier Transform.
"""

from matplotlib import pyplot as plt
import numpy as np
from sklearn.base import TransformerMixin
from sklearn.pipeline import make_pipeline

mrocklin

Nikolay-Lysenko

import numpy as np


def xgb_quantile_eval(preds, dmatrix, quantile=0.2):
    """
    Customized evaluational metric that equals
    to quantile regression loss (also known as
    pinball loss).

    Quantile regression is regression that

whophil

# After Ubuntu 16.04, Systemd becomes the default. 
# It is simpler than https://gist.github.com/Doowon/38910829898a6624ce4ed554f082c4dd

[Unit]
Description=Jupyter Notebook

[Service]
Type=simple
PIDFile=/run/jupyter.pid
ExecStart=/home/phil/Enthought/Canopy_64bit/User/bin/jupyter-notebook --config=/home/phil/.jupyter/jupyter_notebook_config.py