a python library for quickly building and evaluating models
Project description
litelearn
a python library for building models without fussing over the nitty gritty details for data munging
once you have a pandas
dataframe you can create a model
for your dataset in 3 lines of code:
# load some dataset
import seaborn as sns
dataset = "penguins"
target = "body_mass_g"
df = sns.load_dataset(dataset).dropna(subset=[target])
# just 3 lines of code to create
# and evaluate a model
import litelearn as ll
model = ll.core_regress_df(df, target)
result = model.get_evaluation()
installation
pip install litelearn
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
litelearn-0.2.2.tar.gz
(10.9 kB
view hashes)
Built Distribution
litelearn-0.2.2-py3-none-any.whl
(12.7 kB
view hashes)
Close
Hashes for litelearn-0.2.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 60bd8df9485ff51d1fb06059b68b6823663e69f1e78927519149289168d8641b |
|
MD5 | 38714481951852430f8fe72f5e275084 |
|
BLAKE2b-256 | afb42cac23390ba59d6f5b92df1b5ac715e5f1d0f0d57c3c0384047babdf84ee |