Evolution Science

Awesome evo_science created by maycuatroi

Install it from PyPI

pip install evo-science

Example

    model = LinearRegressionModel()

    x = FeatureSet(features=[PClass, Sex, Age, SibSp, Parch, Fare])
    y = FeatureSet(features=[Survived])

    (x + y).build(
        csv_path="https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv"
    )

    model.fit(x=x, y=y)
    model.evaluate(x=x, y=y, metrics=[Slope, ErrorStd])
    model.calculate_coefficients(x=x)

Development

Read the CONTRIBUTING.md file.

Metadata

Release files for evo-science 0.1.14

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Source distribution (sdist)

Source distribution for evo-science 0.1.14
File	Size	Uploaded	Provenance
evo_science-0.1.14.tar.gz	12.7 kB	Jun 12, 2024	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for evo-science 0.1.14
File	Interpreter	ABI	Platform	Reset
evo_science-0.1.14-py3-none-any.whl 20.1 kB Jun 12, 2024 Without provenance	Python 3	none	any	Details

Total release size: 32.8 kB

Release files / evo_science-0.1.14.tar.gz

Download URL	evo_science-0.1.14.tar.gz
Size	12.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`ec375181cee63780dc830e7f745c3789f36789db225b3514fc9090b3e45bac67`
BLAKE2b-256 checksum How to use checksums	`edeb3271c1fb7770ef7ab41baba34c6b01c303824eda2a14dc06bda976b6ae34`
Upload date	Jun 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.12.3`

Release files / evo_science-0.1.14-py3-none-any.whl

Download URL	evo_science-0.1.14-py3-none-any.whl
Size	20.1 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0eb4cadd4abbf02b2d9643a8c42cefafee878631c358d5157f4734f3dd9e9164`
BLAKE2b-256 checksum How to use checksums	`1fe49308a021f2af22ef71ba52b86e4c0d1d4aa51207c0aa594acb472b673f6a`
Upload date	Jun 12, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.0 CPython/3.12.3`

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