adelorenzo/stable
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Fix some typos

Browse Source
This commit is contained in:
Matthias
2022-05-15 16:25:08 +02:00
parent db66b82f6f
commit c81b960791
4 changed files with 26 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
freqtrade/freqai/freqai_interface.py
View File

@@ -43,7 +43,7 @@ class IFreqaiModel(ABC):
def start(self, dataframe: DataFrame, metadata: dict, strategy: IStrategy) -> DataFrame:
"""
Entry point to the FreqaiModel, it will train a new model if
necesssary before making the prediction.
necessary before making the prediction.
The backtesting and training paradigm is a sliding training window
with a following backtest window. Both windows slide according to the
length of the backtest window. This function is not intended to be
@@ -54,7 +54,7 @@ class IFreqaiModel(ABC):
:dataframe: Full dataframe coming from strategy - it contains entire
backtesting timerange + additional historical data necessary to train
the model.
:metadata: pair metadataa coming from strategy.
:metadata: pair metadata coming from strategy.
"""
live = strategy.dp.runmode in (RunMode.DRY_RUN, RunMode.LIVE)
@@ -71,7 +71,7 @@ class IFreqaiModel(ABC):
logger.info("going to train %s timeranges", len(self.dh.training_timeranges))
# Loop enforcing the sliding window training/backtesting paragigm
# Loop enforcing the sliding window training/backtesting paradigm
# tr_train is the training time range e.g. 1 historical month
# tr_backtest is the backtesting time range e.g. the week directly
# following tr_train. Both of these windows slide through the