144 lines
32 KiB
Plaintext
144 lines
32 KiB
Plaintext
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€•‚� }”(Œmodel”Œ xgboost.core”ŒBooster”“”)�”}”Œhandle”Œbuiltins”Œ bytearray”“”BF| {L Config{L learner{L
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generic_param{L deviceSL cpuL fail_on_invalid_gpu_idSL 0L n_jobsSL 0L nthreadSL 0L random_stateSL 0L seedSL 0L seed_per_iterationSL 0L validate_parametersSL 1}L gradient_booster{L gbtree_model_param{L num_parallel_treeSL 1L num_treesSL 26}L gbtree_train_param{L process_typeSL defaultL tree_methodSL histL updaterSL grow_quantile_histmakerL updater_seqSL grow_quantile_histmaker}L nameSL gbtreeL specified_updaterFL tree_train_param{L alphaSL 1L cache_optSL 1L colsample_bylevelSL 1L colsample_bynodeSL 1L colsample_bytreeSL 0.600000024L etaSL 0.0500000007L gammaSL 1L grow_policySL depthwiseL interaction_constraintsSL L lambdaSL 5L
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learning_rateSL 0.0500000007L max_binSL 256L max_cat_thresholdSL 64L max_cat_to_onehotSL 4L max_delta_stepSL 1L max_depthSL 3L
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max_leavesSL 0L min_child_weightSL 10L min_split_lossSL 1L monotone_constraintsSL ()L refresh_leafSL 1L reg_alphaSL 1L
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reg_lambdaSL 5L sampling_methodSL uniformL sketch_ratioSL 2L sparse_thresholdSL 0.20000000000000001L subsampleSL 0.699999988}L updater[#L {L hist_train_param{L debug_synchronizeSL 0L extmem_single_pageSL 0L max_cached_hist_nodeSL 18446744073709551615}L nameSL grow_quantile_histmaker}}L learner_model_param{L
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base_scoreSL [5.2909577E-1]L boost_from_averageSL 1L num_classSL 0L num_featureSL 37L
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num_targetSL 1}L learner_train_param{L boosterSL gbtreeL disable_default_eval_metricSL 0L multi_strategySL one_output_per_treeL objectiveSL binary:logistic}L metrics[#L {L nameSL auc}L objective{L nameSL binary:logisticL reg_loss_param{L scale_pos_weightSL 1}}}L version[#L iii}L Model{L learner{L
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attributes{L best_iterationSL 20L
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best_scoreSL 0.696943147510073}L
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feature_names[#L %SL rsiSL atrSL atr_percentSL macdSL macd_signalSL macd_histogramSL bb_percent_bSL bb_widthSL ema_9SL ema_21SL returns_1SL returns_5SL
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returns_20SL log_returnsSL
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volatility_20SL normalized_rangeSL avg_normalized_rangeSL price_positionSL dist_from_sma_20SL higher_highSL lower_lowSL
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hh_count_5SL
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ll_count_5SL volume_ratioSL high_volumeSL
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swing_highSL swing_lowSL
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fvg_signalSL obSL bosSL chochSL market_structureSL hourSL weekdaySL london_sessionSL
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ny_sessionSL regimeL
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feature_types[#L L gradient_booster{L model{L cats{L enc[#L L feature_segments[$l#L L
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sorted_idx[$l#L }L gbtree_model_param{L num_parallel_treeSL 1L num_treesSL 26}L iteration_indptr[#L i iiiiiiiii i
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i i i
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