diff --git a/build/conda/conda-3-9-env-full.yaml b/build/conda/conda-3-9-env-full.yaml index 33392f4c800d..634a3c6692e2 100644 --- a/build/conda/conda-3-9-env-full.yaml +++ b/build/conda/conda-3-9-env-full.yaml @@ -5,4 +5,4 @@ dependencies: - python=3.9.6 - pip - poetry=1.1.13 - - lightgbm=3.3.3 + - lightgbm=3.3.5 diff --git a/openbb_terminal/forecast/expo_model.py b/openbb_terminal/forecast/expo_model.py index 6c47acb9785f..74ace57dd59d 100644 --- a/openbb_terminal/forecast/expo_model.py +++ b/openbb_terminal/forecast/expo_model.py @@ -8,7 +8,7 @@ import pandas as pd from darts import TimeSeries -from darts.metrics import mape, rmse, mse, smape # noqa: I001 +from darts.metrics import mape, mse, rmse, smape from darts.models import ExponentialSmoothing from darts.utils.utils import ModelMode, SeasonalityMode from numpy import ndarray diff --git a/openbb_terminal/forecast/helpers.py b/openbb_terminal/forecast/helpers.py index cd790ed5f61b..6e6750bcd233 100644 --- a/openbb_terminal/forecast/helpers.py +++ b/openbb_terminal/forecast/helpers.py @@ -11,7 +11,7 @@ from darts import TimeSeries from darts.dataprocessing.transformers import MissingValuesFiller, Scaler from darts.explainability.shap_explainer import ShapExplainer -from darts.metrics import mape, rmse, mse, smape # noqa: I001 +from darts.metrics import mape, mse, rmse, smape from darts.models.forecasting.torch_forecasting_model import GlobalForecastingModel from darts.utils.statistics import plot_residuals_analysis from pytorch_lightning.callbacks.early_stopping import EarlyStopping diff --git a/openbb_terminal/forecast/theta_model.py b/openbb_terminal/forecast/theta_model.py index 77af956c4835..0f3f1c1ebe3a 100644 --- a/openbb_terminal/forecast/theta_model.py +++ b/openbb_terminal/forecast/theta_model.py @@ -8,7 +8,7 @@ import numpy as np import pandas as pd from darts import TimeSeries -from darts.metrics import mape, rmse, mse, smape # noqa: I001 +from darts.metrics import mape, mse, rmse, smape from darts.models import Theta from darts.utils.utils import SeasonalityMode from statsmodels.tools.sm_exceptions import ConvergenceWarning