scipackage is a Python package providing science calculate.
machinelearning-kit
- bestkmeans.c find best k value for k-means cluster
- binning.c binning vector to some phase
- correlate.c calculate pearson of two vectors
- distance.c calculate math distance such as euclid, hamming
- entropy.c calculate the infomation entropy by log method
- fourstep.c four step cluster
- gene.c optimize method
- kdtree.c KD Tree
- linear_regression.c mutil meta linear regression
- louvain.c louvain for graphic
- metric.c metric index such as R2, F1
- pca.c PCA
- seqsim.c a cluster method
- similar.c calculate the similar value of two vectors
- trie.c Tries Tree
- weight.c calculate the weight of factor
natruelanguage-kit
- entity.c entity recognize
- hash.c Hash
- keyword.c extract the keyword from sentence
- longest_common.c longest common substr of two sentences
- process.c process the netral language
- tagging.c tag the word from sentence
- tokenize.c make the sentence to separate word
- topic.c extract the topic from sentence
- vocab.c dictionary
neuralnetwork-kit
- activate.c layer of activate
- attention.c Attention network
- bert.c BERT
- crf.c CRF
- dataset.c dataset for torch
- dropout.c layer of dropout
- esim.c ESIM
- function.c loss functions
- glove.c Glove
- loss.c loss functions
- lstm.c LSTM
- lstm_crf.c LSTM_CRF
- mask_linear.c mask linear for torch
- optimize.c optimize functions
- skip_gram.c skip gram
- train.c train prcess for torch
timeseries-kit
- filter.c filt the wave of time series data
- outlier.c find the outlier of time series data
- segment.c segment the time series data to some phase
Metadata
Release files for scipackage 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scipackage-0.1.4.tar.gz | 3.0 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scipackage-0.1.4-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
Total release size: 5.5 MB
Release files / scipackage-0.1.4.tar.gz
| Download URL | scipackage-0.1.4.tar.gz |
|---|---|
| Size | 3.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5a82f13975bb6a658b3147ee7189ab36f96dc7027253f5ec19800b3492f3f8c5
|
|
BLAKE2b-256 checksum How to use checksums |
6616e98a92bcd4d10b9d26facd8a4144dbe0218768a458c670a61ed6e1089dc5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.0
|
Release files / scipackage-0.1.4-cp312-cp312-win_amd64.whl
| Download URL | scipackage-0.1.4-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.12 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
1ade905333e8e7849b5e77ac9b4a7e355dc30fe2dfd2832c2f86b9080472c07a
|
|
BLAKE2b-256 checksum How to use checksums |
787d13b828ca7603b9f503dda1d7b6c4ab114be8bb901ba42de6c4980d2ad6f8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.0
|
Security for scipackage 0.1.4
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