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refactor(Reporting): only report the last model's results, moved wandb-related functions to reporting (#69)
* refactor(Reporting): only report the last model's results, moved wandb-related functions to `reporting` * fix(Reporting): use .mean() on axis 1 to retain the metrics, fixed get_model_name() * fix(Config): sweep file syntax * fix(Config): changed hyperparameter search method to "bayes" * chore(Sweep): adjusted sweep config based on the results we saw (removed Momentum as well) * fix(Sweep): only use classification method for now, we're not yet prepared for regression
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@@ -2,9 +2,6 @@
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import requests
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import pandas as pd
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AV_API_KEY = 'UY5VGSWBE88SHGI6'
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CC_API_KEY = 'bfb8b5f54b21354608020a6654b370617b2fcabd2c8c2ce04ab881682a1d9dc9'
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# %%
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def get_crypto_price_crypto_compare(symbol: str, exchange: str, days: int) -> pd.DataFrame:
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api_url = f'https://min-api.cryptocompare.com/data/v2/histoday?fsym={symbol}&tsym={exchange}&limit={days}&api_key={CC_API_KEY}'
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