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matrix-factorial
Downloaded:0
Required to complete the classroom in terms of LU decomposition matrix, QR (Gram-Schmidt), Orthogonal Reduction (Householder reduction and Givens reduction) program implementation requirements are as follows: 1, a compre
Date
: 2025-07-30
Size
: 2kb
User
:
卯宁
EMD
Downloaded:0
method of EMD
Date
: 2025-07-30
Size
: 7kb
User
:
d.sir
CG
Downloaded:0
MATLAB version of the CG (conjugate gradient algorithm) for solving large-scale matrix computations (solving equations and problems) based algorithm
Date
: 2025-07-30
Size
: 1kb
User
:
tiankai
minFunc
Downloaded:0
gradient descent toolbox, including L_BFGS, MATLAB edition
Date
: 2025-07-30
Size
: 76kb
User
:
王鹏飞
curvefitting
Downloaded:0
curve fitting with Gaussian noise sampling. python.
Date
: 2025-07-30
Size
: 58kb
User
:
吴难难
PCA-Python
Downloaded:0
PCA with python.
Date
: 2025-07-30
Size
: 73kb
User
:
吴难难
MOG-python
Downloaded:0
implementation of MOG(Mixture Of Gauss) with python.
Date
: 2025-07-30
Size
: 1.38mb
User
:
吴难难
LM
Downloaded:0
implementation of LM(Levenberg-Marquardt) algorithm with python.
Date
: 2025-07-30
Size
: 1kb
User
:
吴难难
Batch_fft
Downloaded:0
batch analysis for FFT
Date
: 2025-07-30
Size
: 1kb
User
:
冯天
plot_cv_predict
Downloaded:0
use cross_val_predict to visualize prediction errors.
Date
: 2025-07-30
Size
: 1kb
User
:
申鹏
feature_stacker
Downloaded:0
In many real-world examples, there are many ways to extract features a dataset. Often it is beneficial to combine several methods to obtain good performance. This example shows how to use FeatureUnion to combine features
Date
: 2025-07-30
Size
: 1kb
User
:
申鹏
plot_digits_pipe
Downloaded:0
The PCA does an unsupervised dimensionality reduction, while the logistic regression does the prediction. We use a GridSearchCV to set the dimensionality of the PCA
Date
: 2025-07-30
Size
: 1kb
User
:
申鹏
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