-
-
Save zilto/25e205583c50da0e41457b2cd62d1a2d to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from hamilton import driver | |
from hamilton.io.materialization import to | |
from hamilton.plugins import h_experiments, pandas_extensions | |
import analysis # <- your module | |
tracker_hook = h_experiments.ExperimentTracker( | |
experiment_name="hello-world", | |
base_directory="./experiments", | |
) | |
dr = ( | |
driver.Builder() | |
.with_modules(analysis) | |
.with_config(dict(model="linear", preprocess="pca")) | |
.with_adapters(tracker_hook) # <- the hook | |
.build() | |
) | |
inputs = dict(n_splits=4) | |
# materializers to include in run directory | |
# use a relative path | |
materializers = [ | |
to.pickle( | |
id="trained_model__pickle", | |
dependencies=["trained_model"], | |
path="./trained_model.pickle", | |
), | |
to.parquet( | |
id="X_df__parquet", | |
dependencies=["X_df"], | |
path="./X_df.parquet", | |
), | |
to.pickle( | |
id="out_of_sample_performance__pickle", | |
dependencies=["out_of_sample_performance"], | |
path="./out_of_sample_performance.pickle", | |
), | |
] | |
# pass explicitly `tracker_hook.run_directory` | |
# to store the dataflow visualization | |
dr.visualize_materialization( | |
*materializers, | |
inputs=inputs, | |
output_file_path=f"{tracker_hook.run_directory}/dag.png", | |
) | |
# launch run with .materialize() | |
dr.materialize(*materializers, inputs=inputs) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment