IbisML is a library for building scalable ML pipelines using Ibis.
Project description
IbisML
What is IbisML?
IbisML is a library for building scalable ML pipelines using Ibis:
- Preprocess your data at scale on any Ibis-supported backend.
- Compose
Recipes with other scikit-learn estimators usingPipelines. - Seamlessly integrate with scikit-learn, XGBoost, and PyTorch models.
How do I install IbisML?
pip install ibis-ml
How do I use IbisML?
With recipes, you can define sequences of feature engineering steps to get your data ready for modeling. For example, create a recipe to replace missing values using the mean of each numeric column and then normalize numeric data to have a standard deviation of one and a mean of zero.
import ibis_ml as ml
imputer = ml.ImputeMean(ml.numeric())
scaler = ml.ScaleStandard(ml.numeric())
rec = ml.Recipe(imputer, scaler)
A recipe can be chained in a
Pipeline
like any other
transformer.
from sklearn.pipeline import Pipeline
from sklearn.svm import SVC
pipe = Pipeline([("rec", rec), ("svc", SVC())])
The pipeline can be used as any other estimator and avoids leaking the test set into the train set.
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
X, y = make_classification(random_state=0)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)
pipe.fit(X_train, y_train).score(X_test, y_test)
Project details
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 ibis_ml-0.1.4.tar.gz.
File metadata
- Download URL: ibis_ml-0.1.4.tar.gz
- Upload date:
- Size: 29.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f69a13cdff80a1755f347ab2665666150667f6cffed151949224482c3ece9549
|
|
| MD5 |
14fd1ae057964affbd0d785ff6aed1f6
|
|
| BLAKE2b-256 |
e69c2e2c2d2a638162554a524ebff266e2ec4958455b4ed879ec1c7b28ab107a
|
Provenance
The following attestation bundles were made for ibis_ml-0.1.4.tar.gz:
Publisher:
publish.yml on ibis-project/ibis-ml
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
ibis_ml-0.1.4.tar.gz -
Subject digest:
f69a13cdff80a1755f347ab2665666150667f6cffed151949224482c3ece9549 - Sigstore transparency entry: 279603260
- Sigstore integration time:
-
Permalink:
ibis-project/ibis-ml@e48709d1a9fe58b4fb96b3c382ac39800403885f -
Branch / Tag:
refs/tags/v0.1.4 - Owner: https://github.com/ibis-project
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@e48709d1a9fe58b4fb96b3c382ac39800403885f -
Trigger Event:
push
-
Statement type:
File details
Details for the file ibis_ml-0.1.4-py3-none-any.whl.
File metadata
- Download URL: ibis_ml-0.1.4-py3-none-any.whl
- Upload date:
- Size: 36.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9a7e322582640ea2c8180146ec5e3a505d6fd1148117c8f6156fd2fab904f3bc
|
|
| MD5 |
66b4588f535c50152bfe37918c881978
|
|
| BLAKE2b-256 |
56c23fc33720f479621c3da150245d966927b8d5b6d03ee569e7cd100544504a
|
Provenance
The following attestation bundles were made for ibis_ml-0.1.4-py3-none-any.whl:
Publisher:
publish.yml on ibis-project/ibis-ml
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
ibis_ml-0.1.4-py3-none-any.whl -
Subject digest:
9a7e322582640ea2c8180146ec5e3a505d6fd1148117c8f6156fd2fab904f3bc - Sigstore transparency entry: 279603290
- Sigstore integration time:
-
Permalink:
ibis-project/ibis-ml@e48709d1a9fe58b4fb96b3c382ac39800403885f -
Branch / Tag:
refs/tags/v0.1.4 - Owner: https://github.com/ibis-project
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@e48709d1a9fe58b4fb96b3c382ac39800403885f -
Trigger Event:
push
-
Statement type:
