This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
Partial Correlation in Python (clone of Matlab's partialcorr) | |
This uses the linear regression approach to compute the partial | |
correlation (might be slow for a huge number of variables). The | |
algorithm is detailed here: | |
http://en.wikipedia.org/wiki/Partial_correlation#Using_linear_regression | |
Taking X and Y two variables of interest and Z the matrix with all the variable minus {X, Y}, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
from scipy import sparse | |
# .. for plotting .. | |
import pylab as plt | |
# .. to generate a synthetic dataset .. | |
from sklearn import datasets | |
n_samples, n_features = 1000, 10000 | |
A, b = datasets.make_regression(n_samples, n_features) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
from scipy import linalg, optimize | |
MAX_ITER = 100 | |
def group_lasso(X, y, alpha, groups, max_iter=MAX_ITER, rtol=1e-6, | |
verbose=False): | |
""" | |
Linear least-squares with l2/l1 regularization solver. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
""" | |
Implementation of pairwise ranking using scikit-learn LinearSVC | |
Reference: | |
"Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich, | |
T. Graepel, K. Obermayer 1999 | |
"Learning to rank from medical imaging data." Pedregosa, Fabian, et al., | |
Machine Learning in Medical Imaging 2012. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# -*- coding: utf-8 -*- | |
""" | |
Strong rules for coordinate descent | |
Author: Fabian Pedregosa <fabian@fseoane.net> | |
""" | |
import numpy as np | |
from scipy import linalg |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
def isotonic_regression(w, y, x_min=None, x_max=None): | |
""" | |
Solve the isotonic regression model: | |
min Sum w_i (y_i - x_i) ** 2 | |
subject to x_min = x_1 <= x_2 ... <= x_n = x_max |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# -*- coding: utf-8 -*- | |
""" | |
=================================== | |
Swiss Roll reduction with LLE | |
=================================== | |
An illustration of Swiss Roll reduction | |
with locally linear embedding | |
""" |
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Copyright 2021 Google LLC | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Copyright 2021 Google LLC | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# https://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
NewerOlder