Inf tracks sphere #39
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* MPE likelihood; option to weight loss terms; cdf values in result_tensors * Option to limit number of CPU threads * Streamline epsilon definition; dependent on float_precision * Exclude stochastic segment from usage for now * Remove input signature * Force float64 (#31) * Independent precision for loss module * Set loss precision to float64 * Add dtype argument for casting to basis functions * Add dtype argument to numpy pdf and cdf functions * safe_log: clip instead of +eps in log calls * Cascades: safe log and float64 pdf/cdf evaluation * Lower bound for sigma and r * Option to set float precision for pdf cdf evaluation independently * Turn off normalization by total charge * Add closest approach point info * Increase default model size: use reco pulses * Add one earlier seed point for tracks * Prevent division by zero * Add buffer for time window calculation * Reco speedup: fix data_batch and seed_array for minimizer function * Speedup: use loss only for jac=False * Bugfix: fixed dt_geometry due to wrong entry_point --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com>
* Added LatentToPDFDecoder and AsymmetricGaussianDecoder * NestedModel: refactor code of MultiSource object to inheret from new base class NestedModel * Add mixture model * Add optional decoder to Source and derived classes * Add value range mapping to decoders * Refactored load/save mechanism for Model class: recursive; removed uncessesary init * Set default logger to WARNING * Gamma Decoder added * Define t seeds in config rather than in model * Automatically find packages * Remove call to time: not really necessary and possibly already destructed if called via __del__ * Save/Load of Optimizer State (#33) * Enable save/load of optimizer; Save/load manager like model * Add training settings as mutable settings to Manager --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * use float32 in model, 5 Gamma for tracks * update configs: float32 is good enough * Charge pdf (#36) * Add expectation value to basis functions and decoders * Poisson and NegativeBinomial decoders; refactor double where trick * Add support for charge decoders * Charge PDF: fix calculation of PDF over components * Restructure compatibility test for charge pdf * Noise: add multi-component charge PDF * Inf track: use charge PDF * Inf track: use charge PDF * reformat code * MultiSource models (#35) Cleans up Multi-Source models. Adds sources and multi-sources for tracks including cascades. --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com>
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* Remove duplicated code * Update tests * Remove from future import * Inf tracks sphere (#38) * Add note on breaking change * Test EnteringSphereInfTrack * Mpe likelihood (#32) * MPE likelihood; option to weight loss terms; cdf values in result_tensors * Option to limit number of CPU threads * Streamline epsilon definition; dependent on float_precision * Force float64 (#31) * Add dtype argument for casting to basis functions * Add dtype argument to numpy pdf and cdf functions * safe_log: clip instead of +eps in log calls * Cascades: safe log and float64 pdf/cdf evaluation * Lower bound for sigma and r * Option to set float precision for pdf cdf evaluation independently * Turn off normalization by total charge * Add closest approach point info * Increase default model size: use reco pulses * Add one earlier seed point for tracks * Prevent division by zero * Add buffer for time window calculation * Reco speedup: fix data_batch and seed_array for minimizer function * Speedup: use loss only for jac=False --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * Latent to pdf (#37) * Added LatentToPDFDecoder and AsymmetricGaussianDecoder * NestedModel: refactor code of MultiSource object to inheret from new base class NestedModel * Add mixture model * Add optional decoder to Source and derived classes * Add value range mapping to decoders * Refactored load/save mechanism for Model class: recursive; removed uncessesary init * Set default logger to WARNING * Gamma Decoder added * Define t seeds in config rather than in model * Automatically find packages * Remove call to time: not really necessary and possibly already destructed if called via __del__ * Save/Load of Optimizer State (#33) * Enable save/load of optimizer; Save/load manager like model * Add training settings as mutable settings to Manager --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * use float32 in model, 5 Gamma for tracks * update configs: float32 is good enough * Charge pdf (#36) * Add expectation value to basis functions and decoders * Poisson and NegativeBinomial decoders; refactor double where trick * Add support for charge decoders * Charge PDF: fix calculation of PDF over components * Restructure compatibility test for charge pdf * Noise: add multi-component charge PDF * Inf track: use charge PDF * Inf track: use charge PDF * reformat code * MultiSource models (#35) Cleans up Multi-Source models. Adds sources and multi-sources for tracks including cascades. --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * Inf tracks sphere (#39) * Add note on breaking change * Test EnteringSphereInfTrack * Set missing values in Configuration * Debug config and model architecture * Mpe likelihood (#32) * MPE likelihood; option to weight loss terms; cdf values in result_tensors * Option to limit number of CPU threads * Streamline epsilon definition; dependent on float_precision * Exclude stochastic segment from usage for now * Remove input signature * Force float64 (#31) * Independent precision for loss module * Set loss precision to float64 * Add dtype argument for casting to basis functions * Add dtype argument to numpy pdf and cdf functions * safe_log: clip instead of +eps in log calls * Cascades: safe log and float64 pdf/cdf evaluation * Lower bound for sigma and r * Option to set float precision for pdf cdf evaluation independently * Turn off normalization by total charge * Add closest approach point info * Increase default model size: use reco pulses * Add one earlier seed point for tracks * Prevent division by zero * Add buffer for time window calculation * Reco speedup: fix data_batch and seed_array for minimizer function * Speedup: use loss only for jac=False * Bugfix: fixed dt_geometry due to wrong entry_point --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * Latent to pdf (#37) * Added LatentToPDFDecoder and AsymmetricGaussianDecoder * NestedModel: refactor code of MultiSource object to inheret from new base class NestedModel * Add mixture model * Add optional decoder to Source and derived classes * Add value range mapping to decoders * Refactored load/save mechanism for Model class: recursive; removed uncessesary init * Set default logger to WARNING * Gamma Decoder added * Define t seeds in config rather than in model * Automatically find packages * Remove call to time: not really necessary and possibly already destructed if called via __del__ * Save/Load of Optimizer State (#33) * Enable save/load of optimizer; Save/load manager like model * Add training settings as mutable settings to Manager --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * use float32 in model, 5 Gamma for tracks * update configs: float32 is good enough * Charge pdf (#36) * Add expectation value to basis functions and decoders * Poisson and NegativeBinomial decoders; refactor double where trick * Add support for charge decoders * Charge PDF: fix calculation of PDF over components * Restructure compatibility test for charge pdf * Noise: add multi-component charge PDF * Inf track: use charge PDF * Inf track: use charge PDF * reformat code * MultiSource models (#35) Cleans up Multi-Source models. Adds sources and multi-sources for tracks including cascades. --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * Add note on breaking change (#40) Co-authored-by: mhuen <mhuen@users.noreply.github.com> --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com>
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* Option to evaluate PDF/CDF on individual DOMs * Merge back branches: LatentToPDF, MPE, Track Sources/Multi-Sources (#41) * Remove from future import * Inf tracks sphere (#38) * Add note on breaking change * Test EnteringSphereInfTrack * Mpe likelihood (#32) * MPE likelihood; option to weight loss terms; cdf values in result_tensors * Option to limit number of CPU threads * Streamline epsilon definition; dependent on float_precision * Force float64 (#31) * Add dtype argument for casting to basis functions * Add dtype argument to numpy pdf and cdf functions * safe_log: clip instead of +eps in log calls * Cascades: safe log and float64 pdf/cdf evaluation * Lower bound for sigma and r * Option to set float precision for pdf cdf evaluation independently * Turn off normalization by total charge * Add closest approach point info * Increase default model size: use reco pulses * Add one earlier seed point for tracks * Prevent division by zero * Add buffer for time window calculation * Reco speedup: fix data_batch and seed_array for minimizer function * Speedup: use loss only for jac=False * Latent to pdf (#37) * Added LatentToPDFDecoder and AsymmetricGaussianDecoder * NestedModel: refactor code of MultiSource object to inheret from new base class NestedModel * Add mixture model * Add optional decoder to Source and derived classes * Add value range mapping to decoders * Refactored load/save mechanism for Model class: recursive; removed uncessesary init * Set default logger to WARNING * Gamma Decoder added * Define t seeds in config rather than in model * Automatically find packages * Remove call to time: not really necessary and possibly already destructed if called via __del__ * Save/Load of Optimizer State (#33) * Enable save/load of optimizer; Save/load manager like model * Add training settings as mutable settings to Manager * use float32 in model, 5 Gamma for tracks * update configs: float32 is good enough * Charge pdf (#36) * Add expectation value to basis functions and decoders * Poisson and NegativeBinomial decoders; refactor double where trick * Add support for charge decoders * Charge PDF: fix calculation of PDF over components * Restructure compatibility test for charge pdf * Noise: add multi-component charge PDF * Inf track: use charge PDF * Inf track: use charge PDF * reformat code * MultiSource models (#35) Cleans up Multi-Source models. Adds sources and multi-sources for tracks including cascades. * Inf tracks sphere (#39) * Add note on breaking change * Test EnteringSphereInfTrack * Set missing values in Configuration * Debug config and model architecture * Mpe likelihood (#32) * MPE likelihood; option to weight loss terms; cdf values in result_tensors * Option to limit number of CPU threads * Streamline epsilon definition; dependent on float_precision * Exclude stochastic segment from usage for now * Remove input signature * Force float64 (#31) * Independent precision for loss module * Set loss precision to float64 * Add dtype argument for casting to basis functions * Add dtype argument to numpy pdf and cdf functions * safe_log: clip instead of +eps in log calls * Cascades: safe log and float64 pdf/cdf evaluation * Lower bound for sigma and r * Option to set float precision for pdf cdf evaluation independently * Turn off normalization by total charge * Add closest approach point info * Increase default model size: use reco pulses * Add one earlier seed point for tracks * Prevent division by zero * Add buffer for time window calculation * Reco speedup: fix data_batch and seed_array for minimizer function * Speedup: use loss only for jac=False * Bugfix: fixed dt_geometry due to wrong entry_point --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * Latent to pdf (#37) * Added LatentToPDFDecoder and AsymmetricGaussianDecoder * NestedModel: refactor code of MultiSource object to inheret from new base class NestedModel * Add mixture model * Add optional decoder to Source and derived classes * Add value range mapping to decoders * Refactored load/save mechanism for Model class: recursive; removed uncessesary init * Set default logger to WARNING * Gamma Decoder added * Define t seeds in config rather than in model * Automatically find packages * Remove call to time: not really necessary and possibly already destructed if called via __del__ * Save/Load of Optimizer State (#33) * Enable save/load of optimizer; Save/load manager like model * Add training settings as mutable settings to Manager --------- Co-authored-by: mhuen <mhuen@users.noreply.github.com> * use float32 in model, 5 Gamma for tracks * update configs: float32 is good enough * Charge pdf (#36) * Add expectation value to basis functions and decoders * Poisson and NegativeBinomial decoders; refactor double where trick * Add support for charge decoders * Charge PDF: fix calculation of PDF over components * Restructure compatibility test for charge pdf * Noise: add multi-component charge PDF * Inf track: use charge PDF * Inf track: use charge PDF * reformat code * MultiSource models (#35) Cleans up Multi-Source models. Adds sources and multi-sources for tracks including cascades. * Add note on breaking change (#40)
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Adds: LatentToPDF mixture models for charge and time, MPE likelihood, track source and multi-source classes.
Merge back all branches.