v1.2.4

Taking various steps to increase the performance (especially for regression tasks):

• Set min_child_weight and col_sample_by_level to zero spans (min and max are equal) to speed up finding optimal spots for more important parameters. However users can still adjust these ranges on demand
• Fix range of subsample param which exceeded 1
• Remove adjusted losses
• Add multiple mean strategies to blend predictions of sub models in BlueCastCVRegression
• Updated poetry env
• Add optional sampling during training
• Enabled use_full_data_for_final_model by default