` # Python 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0]
clearml == 1.0.5
hyperopt == 0.2.5
matplotlib == 3.4.3
numpy == 1.21.2
pandas == 1.3.2
plotly == 5.3.0
python_dateutil == 2.8.2
scikit_learn == 0.24.2
statsmodels == 0.12.2
tqdm == 4.62.2

Detailed import analysis

**************************

IMPORT PACKAGE clearml

tasks/data_projection.py: 9

tasks/hp_optimization.py: 6

tasks/hpo_n_best_evaluation.py: 6

tasks/pipelines/monthly_predictions.py: 4

IMPORT PACKAGE hyperopt

src/models/hpo/init.py: 5

src/models/hpo/arima_hpo.py: 6,7

src/models/hpo/dummy.py: 6,7

tasks/hp_optimization.py: 10

IMPORT PACKAGE matplotlib

tasks/hpo_n_best_evaluation.py: 7

IMPORT PACKAGE numpy

src/metrics.py: 3

src/models/arima/arima_model.py: 3

src/models/feature_engineering.py: 4

src/models/hpo/dummy.py: 5

tasks/data_projection.py: 10

tasks/hp_optimization.py: 7

tasks/hpo_n_best_evaluation.py: 8

IMPORT PACKAGE pandas

src/data/data_io.py: 7

src/data/data_processing.py: 3

src/models/arima/arima_model.py: 4

src/models/feature_engineering.py: 5

tasks/data_projection.py: 3

tasks/hp_optimization.py: 8

tasks/hpo_n_best_evaluation.py: 9

IMPORT PACKAGE plotly

tasks/hp_optimization.py: 9

tasks/hpo_n_best_evaluation.py: 10

IMPORT PACKAGE python_dateutil

src/models/arima/arima_model.py: 5

src/models/hpo/arima_hpo.py: 5

tasks/data_projection.py: 12

tasks/hpo_n_best_evaluation.py: 11

tasks/pipelines/monthly_predictions.py: 5

IMPORT PACKAGE scikit_learn

src/debugging.py: [3]

src/models/arima/arima_model.py: [6]

src/models/feature_engineering.py: [6]

src/models/hpo/arima_hpo.py: [8]

src/models/hpo/dummy.py: [8]

tasks/data_projection.py: [11]

IMPORT PACKAGE statsmodels

src/models/arima/arima_model.py: 7

IMPORT PACKAGE tqdm

tasks/hpo_n_best_evaluation.py: 12

tasks/pipelines/monthly_predictions.py: 6 `