semvec/pypi-packages huggingface dataset:
TPLSp 1.1.0
Python package for thresholded partial least squares
Requires Python: >=3.6

# TPLSp 1.1.0

Python Package for using Thresholded Partial Least Squares (TPLS) for big data regression and classification.
It is developed with whole-brain neuroimaging (fMRI) MVPA predictors in mind. TPLS uses analytical calulations
of partial least squares to dramatically speed-up the training of models with large number of features (~millions).

You can install from pypi using pip:
pip install --upgrade TPLSp

Look under the examples folderin github for step-by-step tutorial on how to use TPLS.
https://github.com/sangillee/TPLSp


Citation: Lee, S., Bradlow, E. T., & Kable, J. W. (2022). Fast construction of interpretable whole-brain decoders. Cell Reports Methods, 100227.
LZ-ZHB 1.0
小於菟工作室开发的包。

方法：speak('text'),weather('省份拼音','城市拼音',number)number是0是今天，1是明天，2是后台，返回值为字符串，包含地点，时间，温度，天气，穿衣提醒。be_qr(text, y_n)此方法用于创建一个QR码，也就是二维码，text是二维码内容，y_n是0/1的数值，1展示图片,0放入文件夹。zdgys(a,b)此方法用于求a,b的最大公因数，a,b一定是自然数，返回值为数值。zxgbs(x, y)用于求x,y的最小公倍数，a,b一定是自然数，返回值为数值。