mirror of
https://github.com/clearml/clearml-docs
synced 2025-02-01 06:56:56 +00:00
30 lines
1.2 KiB
Markdown
30 lines
1.2 KiB
Markdown
|
---
|
||
|
title: scikit-learn with Joblib
|
||
|
---
|
||
|
|
||
|
The [sklearn_joblib_example.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/scikit-learn/sklearn_joblib_example.py)
|
||
|
demonstrates the integration of **ClearML** into code that uses `scikit-learn` and `joblib` to store a model and model snapshots,
|
||
|
and `matplotlib` to create a scatter diagram. When the script runs, it creates an experiment named `scikit-learn joblib examplescikit-learn joblib example`, which is associated with the `examples` project.
|
||
|
|
||
|
## Plots
|
||
|
|
||
|
**ClearML** automatically logs the scatter plot, which appears in the experiment's page in the **ClearML web UI**, under
|
||
|
**RESULTS** **>** **PLOTS**.
|
||
|
|
||
|
![image](../../../img/examples_sklearn_joblib_example_06.png)
|
||
|
|
||
|
## Artifacts
|
||
|
|
||
|
Model artifacts associated with the experiment appear in the info panel of the **EXPERIMENTS** tab and in the info panel
|
||
|
of the **MODELS** tab.
|
||
|
|
||
|
The experiment info panel shows model tracking, including the model name and design (in this case, no design was stored).
|
||
|
|
||
|
![image](../../../img/examples_sklearn_joblib_example_01.png)
|
||
|
|
||
|
The model info panel contains the model details, including:
|
||
|
* Model URL
|
||
|
* Framework
|
||
|
* Snapshot locations.
|
||
|
|
||
|
![image](../../../img/examples_sklearn_joblib_example_02.png)
|