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https://github.com/microsoft/autogen.git
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fb59bb9928
* fixing ray pickle bug, skipping macosx bug, completing code for seqregression * catching connectionerror * ading TODOs for NLP module
43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
import sys
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import pytest
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@pytest.mark.skipif(sys.platform == "darwin", reason="do not run on mac os")
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def test_cv():
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from flaml import AutoML
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import requests
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from datasets import load_dataset
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try:
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train_dataset = (
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load_dataset("glue", "mrpc", split="train[:1%]").to_pandas().iloc[0:4]
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)
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except requests.exceptions.ConnectionError:
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return
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custom_sent_keys = ["sentence1", "sentence2"]
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label_key = "label"
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X_train = train_dataset[custom_sent_keys]
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y_train = train_dataset[label_key]
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automl = AutoML()
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automl_settings = {
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"gpu_per_trial": 0,
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"max_iter": 3,
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"time_budget": 5,
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"task": "seq-classification",
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"metric": "accuracy",
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"n_splits": 3,
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}
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automl_settings["custom_hpo_args"] = {
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"model_path": "google/electra-small-discriminator",
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"output_dir": "test/data/output/",
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"ckpt_per_epoch": 1,
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"fp16": False,
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}
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automl.fit(X_train=X_train, y_train=y_train, **automl_settings)
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