PredictNonlinear

Description :
Evaluate SMap prediction skill for localization parameter theta (default from 0.01 to 9).

Python :

PredictNonlinear(pathIn='./', dataFile='', dataFrame=None, 
pathOut='./', predictFile='', lib='', pred='', theta='', 
E=1, Tp=1, knn=0, tau=-1, exclusionRadius=0, columns='', 
target='', embedded=False, verbose=False, ignoreNan=True,
validLib=[], numThreads=4, showPlot=True, noTime=False)

R :

PredictNonlinear(pathIn="./", dataFile="", dataFrame=NULL, 
pathOut="./", predictFile="", lib="", pred="", theta="",
E=1, Tp=1, knn=0, tau=-1, exclusionRadius=0,
columns="", target="", embedded=FALSE, verbose=FALSE,
validLib=vector(), ignoreNan=TRUE, numThreads=4,
showPlot=TRUE, noTime=FALSE)

Parameter	Type	Default	Purpose
pathIn	string	"./"	Input data file path
dataFile	string	""	Data file name
dataFrame	pyEDM: pandas DataFrame rEDM: data.frame	None	Input DataFrame
pathOut	string	"./"	Output file path
predictFile	string	""	Prediction output file
lib	string or []	""	Pairs of library start stop row indices
pred	string or []	""	Pairs of prediction start stop row indices
theta	string	""	`theta` is a string of theta values with a delimiter of [',' , '\t', '\n'].
E	int	0	Embedding dimension
Tp	int	1	Prediction Interval
tau	int	-1	Embedding time shift (time series rows)
exclusionRadius	int	0	Prediction vector exclusion radius
columns	string or []	""	Column names for library
target	string	""	Prediction target column name
embedded	bool	False	Is data an embedding? If False, embed to E
verbose	bool	False	Echo messages
validLib	bool []	[] or None	Conditional embedding
ignoreNan	bool	True	Adjust lib to exlcude NaN
numThreads	int	4	Number of threads to use
showPlot	bool	True	Show plot of theta vs Rho
noTime	bool	False	Do not require first data column of time or index

Refer to the parameters table for general parameter definitions.

Notes :
theta is a string of theta values with a delimiter of [',', '\t', '\n']. See the Parameters table for parameter definitions.

Returns :
DataFrame with columns theta and rho.