Package Reference

• ANN models
  • ecopann.element
    • ELU_1
      • ELU_1.forward()
      • ELU_1.training
    • Sigmoid_1
      • Sigmoid_1.forward()
      • Sigmoid_1.training
    • Softplus_1
      • Softplus_1.forward()
      • Softplus_1.training
    • Softplus_2
      • Softplus_2.forward()
      • Softplus_2.training
    • activation()
    • avgPool1d()
    • avgPool2d()
    • avgPool3d()
    • celu()
    • dropout()
    • dropout2d()
    • dropout3d()
    • elu()
    • elu_1()
    • get_dropout()
    • leakyrelu()
    • logsigmoid()
    • maxPool1d()
    • maxPool2d()
    • maxPool3d()
    • pooling()
    • prelu()
    • relu()
    • relu6()
    • rrelu()
    • selu()
    • sigmoid()
    • sigmoid_1()
    • silu()
    • softplus()
    • softplus_1()
    • softplus_2()
    • softsign()
    • tanh()
    • tanhshrink()
  • ecopann.nodeframe
    • decreasingNode()
  • ecopann.sequence
    • Activation
    • BatchNorm
    • Dropout
    • LinearSeq
      • LinearSeq.get_seq()
    • Pooling
    • SeqName
      • SeqName.seq_name()
  • ecopann.fcnet
    • FcNet
      • FcNet.forward()
      • FcNet.training
    • MultiBranchFcNet
      • MultiBranchFcNet.forward()
      • MultiBranchFcNet.training
    • split_nodes()
  • ecopann.optimize
    • LrDecay
      • LrDecay.exp()
      • LrDecay.poly()
      • LrDecay.step()
  • ecopann.train
    • SimilarityIdx
      • SimilarityIdx.simiIdx()
      • SimilarityIdx.simiIdx_2()
    • Train
      • Train.call_GPU()
      • Train.check_GPU()
      • Train.train_0()
      • Train.train_1()
      • Train.transfer_data()
      • Train.transfer_net()
    • additional_loss()
    • additional_loss_2()
    • loss_funcs()
  • ecopann.models
    • LoadChain
      • LoadChain.load_chain()
    • LoadHparams
      • LoadHparams.load_hparams()
    • LoadHparams_MB
      • LoadHparams_MB.load_hparams()
    • LoadLoss
      • LoadLoss.load_loss()
    • LoadNet
      • LoadNet.load_net()
    • MultiBranchMLP
      • MultiBranchMLP.predict()
      • MultiBranchMLP.predict_chain()
      • MultiBranchMLP.preprocessing_multiBranch_input()
      • MultiBranchMLP.preprocessing_multiBranch_target()
      • MultiBranchMLP.save_chain()
      • MultiBranchMLP.save_hparams()
      • MultiBranchMLP.save_loss()
      • MultiBranchMLP.save_net()
      • MultiBranchMLP.statistic()
      • MultiBranchMLP.train()
      • MultiBranchMLP.train_branch_trunk()
      • MultiBranchMLP.transfer_branchNet()
      • MultiBranchMLP.transfer_data()
    • MultiDataSetMLP
      • MultiDataSetMLP.predict()
      • MultiDataSetMLP.predict_chain()
      • MultiDataSetMLP.statistic()
      • MultiDataSetMLP.train()
      • MultiDataSetMLP.transfer_data()
    • OneBranchMLP
      • OneBranchMLP.copyLayers_fromTrainedNet()
      • OneBranchMLP.load_wellTrainedNet()
      • OneBranchMLP.plot_loss()
      • OneBranchMLP.predict()
      • OneBranchMLP.predict_chain()
      • OneBranchMLP.predict_params()
      • OneBranchMLP.preprocessing_input()
      • OneBranchMLP.preprocessing_target()
      • OneBranchMLP.preprocessing_target_inv()
      • OneBranchMLP.save_chain()
      • OneBranchMLP.save_hparams()
      • OneBranchMLP.save_loss()
      • OneBranchMLP.save_net()
      • OneBranchMLP.statistic()
      • OneBranchMLP.train()
      • OneBranchMLP.transfer_data()
    • RePredictMBMLP
    • RePredictOBMLP
• Training sets
  • ecopann.cosmic_params
    • ParamsProperty
      • ParamsProperty.labels
      • ParamsProperty.param_fullNames
      • ParamsProperty.params_limit
    • params_dict_zoo()
  • ecopann.data_simulator
    • AddGaussianNoise
      • AddGaussianNoise.multiNoisySample()
      • AddGaussianNoise.multiNoisySpectra()
      • AddGaussianNoise.multiNormalSpectra()
      • AddGaussianNoise.multiParams()
      • AddGaussianNoise.noisySample()
      • AddGaussianNoise.noisySpectra()
      • AddGaussianNoise.obs_noise()
      • AddGaussianNoise.singleNormalSpectra()
    • CutParams
      • CutParams.cut_params()
    • ParametersFilter
      • ParametersFilter.filter_index()
      • ParametersFilter.filter_params()
      • ParametersFilter.include
    • SimMultiSpectra
      • SimMultiSpectra.save_samples()
      • SimMultiSpectra.simulate_spectra()
    • SimParameters
      • SimParameters.combinations
      • SimParameters.fold_sphere()
      • SimParameters.get_contour_edges()
      • SimParameters.get_edge_space()
      • SimParameters.get_multiParams()
      • SimParameters.get_params()
      • SimParameters.hypercube()
      • SimParameters.hyperellipsoid()
      • SimParameters.hypersphere()
      • SimParameters.in_polygon()
      • SimParameters.lhs()
      • SimParameters.normal_params()
      • SimParameters.params_n
      • SimParameters.posterior_hyperellipsoid()
      • SimParameters.random_ball()
      • SimParameters.uniform_params()
      • SimParameters.unique_elements()
    • SimSpectra
      • SimSpectra.comb_spectra()
      • SimSpectra.filter_localSample()
      • SimSpectra.filter_localSamples()
      • SimSpectra.filter_previousSamples()
      • SimSpectra.save_samples()
      • SimSpectra.save_samples_2()
      • SimSpectra.save_samples_3()
      • SimSpectra.save_samples_3_onePart()
      • SimSpectra.simulate()
      • SimSpectra.simulate_spectra()
  • ecopann.data_processor
    • InverseNormalize
      • InverseNormalize.inverseNorm()
      • InverseNormalize.mean()
      • InverseNormalize.minmax()
      • InverseNormalize.z_score()
    • Normalize
      • Normalize.mean()
      • Normalize.minmax()
      • Normalize.norm()
      • Normalize.z_score()
    • ParamsScaling
      • ParamsScaling.inverseScaling()
      • ParamsScaling.scaling()
    • Statistic
      • Statistic.mean
      • Statistic.statistic()
      • Statistic.std
      • Statistic.xmax
      • Statistic.xmin
    • cpu2cuda()
    • cuda2numpy()
    • cuda2torch()
    • numpy2cuda()
    • numpy2torch()
    • torch2cuda()
    • torch2numpy()
• Parameter estimation
  • ecopann.ann
    • ANN
      • ANN.base_N
      • ANN.base_epoch
      • ANN.chain_ann
      • ANN.chains_good
      • ANN.cov_copy
      • ANN.obs_dtype
      • ANN.obs_errors
      • ANN.obs_variables
      • ANN.param_labels
      • ANN.print_hparams()
      • ANN.save_variables()
      • ANN.simulate()
      • ANN.train()
    • RePredict
      • RePredict.best_fit
      • RePredict.burnIn_step
      • RePredict.chain_ann
      • RePredict.cov_copy
      • RePredict.from_chain()
      • RePredict.from_net()
      • RePredict.obs_variables
      • RePredict.param_labels
      • RePredict.same_variables
      • RePredict.trained_variables
  • ecopann.space_updater
    • Chains
      • Chains.bestFit()
      • Chains.best_median()
      • Chains.best_mode()
      • Chains.cov_matrix()
      • Chains.error_devs()
      • Chains.param_devs()
      • Chains.params_n()
      • Chains.reshape_chain()
      • Chains.sigma()
    • CheckParameterSpace
      • CheckParameterSpace.check_limit()
    • UpdateParameterSpace
      • UpdateParameterSpace.error_devs
      • UpdateParameterSpace.limited_spaceSigma_all()
      • UpdateParameterSpace.param_devs
      • UpdateParameterSpace.params_space()
      • UpdateParameterSpace.print_learningRange()
      • UpdateParameterSpace.small_dev()
      • UpdateParameterSpace.spaceSigma_all
      • UpdateParameterSpace.spaceSigma_max
      • UpdateParameterSpace.spaceSigma_min
    • get_CovMatrix()
    • get_cov()
    • pdf_1()
  • ecopann.evaluate
    • FilePath
      • FilePath.filePath()
    • predict()
  • ecopann.plotter
    • BestFitsData
      • BestFitsData.bestFits_all
      • BestFitsData.best_fit
      • BestFitsData.panel()
      • BestFitsData.panel_data()
      • BestFitsData.panels_data()
    • BestPredictedData
      • BestPredictedData.panel()
      • BestPredictedData.panel_data()
      • BestPredictedData.panels_data()
    • PlotPosterior
      • PlotPosterior.plot_contours()
      • PlotPosterior.plot_steps()
      • PlotPosterior.randn_suffix
      • PlotPosterior.save_contours()
      • PlotPosterior.save_steps()
    • PlotPrediction
      • PlotPrediction.plot()
      • PlotPrediction.randn_suffix
      • PlotPrediction.save_fig()
    • pcc()
• Utils
  • ecopann.utils
    • Logger
      • Logger.flush()
      • Logger.write()
    • logger()
    • makeList()
    • mkdir()
    • saveTorchPt()
    • savenpy()
    • savetxt()
  • ecopann.coplot