A grab bag of assorted Data science tools from Moz.
Currently includes:
Utilities for training/evaluating machine learning models:
Cross validation
Evaluation metrics (AUC, F1, etc)
Training models in parallel
Ensemble model selection
PCA
A generic way to specify model inputs
Some linear models:
Linear Regression
Logistic Regression
GLM
Installing
pip install mozsci
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file mozsci-0.9.2.tar.gz.
File metadata
- Download URL: mozsci-0.9.2.tar.gz
- Upload date:
- Size: 34.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eb7fda57c357e503e82f7ed9634b1c406fef660c3dac07c31dadfd64234a66c2
|
|
| MD5 |
f6446d9784db9c2cbb3d848d59e202b0
|
|
| BLAKE2b-256 |
70093d2ddb739aadeb93a04957f7e26c0405ff040020517e18181893e3c87628
|
File details
Details for the file mozsci-0.9.2-cp27-none-macosx_10_10_intel.whl.
File metadata
- Download URL: mozsci-0.9.2-cp27-none-macosx_10_10_intel.whl
- Upload date:
- Size: 80.2 kB
- Tags: CPython 2.7, macOS 10.10+ Intel (x86-64, i386)
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ee766a47ee300cee198a0e625890db30bd8d831519df74ec4613dd8b0bd9a4f
|
|
| MD5 |
e9cf0d4025c3d609494c06750810df50
|
|
| BLAKE2b-256 |
9a865f29a929cb5acb95a5d74ad0d089100effa5c9d40c5287ea85c0418239d2
|
