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fix constants.py, fix freqai test

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This commit is contained in:
robcaulk 2022-11-13 15:38:35 +01:00
parent a59d61472b
commit 1e9e7887aa
3 changed files with 3 additions and 3 deletions
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2
docs/configuration.md
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@ -253,7 +253,7 @@ Mandatory parameters are marked as **Required**, which means that they are requi
| `add_config_files` | Additional config files. These files will be loaded and merged with the current config file. The files are resolved relative to the initial file.<br> *Defaults to `[]`*. <br> **Datatype:** List of strings | `add_config_files` | Additional config files. These files will be loaded and merged with the current config file. The files are resolved relative to the initial file.<br> *Defaults to `[]`*. <br> **Datatype:** List of strings
| `dataformat_ohlcv` | Data format to use to store historical candle (OHLCV) data. <br> *Defaults to `json`*. <br> **Datatype:** String | `dataformat_ohlcv` | Data format to use to store historical candle (OHLCV) data. <br> *Defaults to `json`*. <br> **Datatype:** String
| `dataformat_trades` | Data format to use to store historical trades data. <br> *Defaults to `jsongz`*. <br> **Datatype:** String | `dataformat_trades` | Data format to use to store historical trades data. <br> *Defaults to `jsongz`*. <br> **Datatype:** String
| `reduce_df_footprint` | Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage and decreasing train/inference timing, as well as memory usage. (Currently only affects FreqAI use-cases) <br> **Datatype:** Boolean. <br> Default: `False`. | `reduce_df_footprint` | Recast all numeric columns to float32/int32, with the objective of reducing ram/disk usage (and decreasing train/inference timing in FreqAI). (Currently only affects FreqAI use-cases) <br> **Datatype:** Boolean. <br> Default: `False`.
### Parameters in the strategy ### Parameters in the strategy

2
freqtrade/constants.py
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@ -159,7 +159,7 @@ CONF_SCHEMA = {
'ignore_buying_expired_candle_after': {'type': 'number'}, 'ignore_buying_expired_candle_after': {'type': 'number'},
'trading_mode': {'type': 'string', 'enum': TRADING_MODES}, 'trading_mode': {'type': 'string', 'enum': TRADING_MODES},
'margin_mode': {'type': 'string', 'enum': MARGIN_MODES}, 'margin_mode': {'type': 'string', 'enum': MARGIN_MODES},
'convert_df_to_32bit': {'type': 'number', 'default': False}, 'reduce_df_footprint': {'type': 'number', 'default': False},
'liquidation_buffer': {'type': 'number', 'minimum': 0.0, 'maximum': 0.99}, 'liquidation_buffer': {'type': 'number', 'minimum': 0.0, 'maximum': 0.99},
'backtest_breakdown': { 'backtest_breakdown': {
'type': 'array', 'type': 'array',

2
tests/freqai/test_freqai_interface.py
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@ -43,7 +43,7 @@ def test_extract_data_and_train_model_Standard(mocker, freqai_conf, model, pca,
freqai_conf.update({"strategy": "freqai_test_strat"}) freqai_conf.update({"strategy": "freqai_test_strat"})
freqai_conf['freqai']['feature_parameters'].update({"principal_component_analysis": pca}) freqai_conf['freqai']['feature_parameters'].update({"principal_component_analysis": pca})
freqai_conf['freqai']['feature_parameters'].update({"use_DBSCAN_to_remove_outliers": dbscan}) freqai_conf['freqai']['feature_parameters'].update({"use_DBSCAN_to_remove_outliers": dbscan})
freqai_conf.update({"convert_df_to_float32": float32}) freqai_conf.update({"reduce_df_footprint": float32})
strategy = get_patched_freqai_strategy(mocker, freqai_conf) strategy = get_patched_freqai_strategy(mocker, freqai_conf)
exchange = get_patched_exchange(mocker, freqai_conf) exchange = get_patched_exchange(mocker, freqai_conf)