model_predict,DFA,DatasetExperiment-method | R Documentation |
Apply a model using the input DatasetExperiment. Assumes the model is trained first.
## S4 method for signature 'DFA,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'PCA,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'PLSR,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'PLSDA,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'autoscale,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'blank_filter,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'constant_sum_norm,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'dratio_filter,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'filter_by_name,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'filter_na_count,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'filter_smeta,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'glog_transform,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'linear_model,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'mean_centre,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'mv_feature_filter,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'mv_sample_filter,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'OPLSR,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'OPLSDA,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'pareto_scale,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'pqn_norm,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'SVM,DatasetExperiment'
model_predict(M, D)
## S4 method for signature 'vec_norm,DatasetExperiment'
model_predict(M, D)
M |
a model object |
D |
a DatasetExperiment object |
Returns a modified model object
M = example_model()
M = model_predict(M,iris_DatasetExperiment())
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