Description of raise_lackinput

Home > sltoolbox > utils > raise_lackinput.m

raise_lackinput

PURPOSE

RAISE_LACKINPUT Raises an error indicating lack of input argument

SYNOPSIS

function raise_lackinput(funcname, nmin)

DESCRIPTION

RAISE_LACKINPUT Raises an error indicating lack of input argument

 $ Syntax $
   - raise_lackinput(funcname, nmin)

 $ Arguments $
   - funcname:         the name of invoking function
   - nmin:             the minimum number of input arguments

 $ Description $
   - raise_lackinput(funcname, nmin) raises an error message indicating
     that the number of arguments input to the function specified by
     funcname is not enough. (It should be at least nmin)

 $ History $
   - Created by Dahua Lin on Nov 18th, 2005

CROSS-REFERENCE INFORMATION

This function calls:

This function is called by:

• edl_batchexp EDL_BATCHEXP Performs Batch experiments according to scheme
• edl_go EDL_GO The Top interface for doing experiments in EDL
• edl_initctrlfile EDL_INITCTRLFILE Creates an initial control file
• edl_logerror EDL_LOGERROR Logs an error into logger
• edl_readprops EDL_READPROPS Reads properties from a property table XML file
• edl_updatectrlfile EDL_UPDATECTRLFILE Updates the status in a control file
• edl_writeprops EDL_WRITEPROPS Writes the property table to XML file
• edl_writereport EDL_WRITEREPORT Writes an EDL report
• edl_writescript EDL_WRITESCRIPT Writes an EDL script
• slkmeansex SLKMEANSEX Performs Generalized K-means
• sladd SLADD Add a sub-array along some dimensions to an array
• slconfine SLCONFINE Confines the values in a range
• sldiscrep SLDISCREP Evaluates the discrepancy of two arrays
• sldistmean SLDISTMEAN Uses fast method to compute means of pairwise distances
• slenforce SLENFORCE Enforce some property on the array A
• sllabeledsum SLLABELEDSUM Sums the numbers according to labels
• slmetric_cp SLMETRIC_CP Computes the metrics between corresponding pairs of samples
• slmetric_pw SLMETRIC_PW Compute the metric between column vectors pairwisely
• slmetric_pw_blks SLMETRIC_PW_BLKS Compute the pairwise metrics in a blockwise manner
• slmul SLMUL Multiply a sub-array along some dimensions to an array
• slpwcalc SLPWCALC Calculates a table pairwisely on two set of scalars
• slpwcomp_blks SLPWCOMP_BLKS Computes pairwise value matrix
• slpweval SLPWEVAL Perform pairwise computation
• slsumstat_blks SLSUMSTAT_BLKS Sums up statistics on all blocks for partitioned data
• slsymgeig SLSYMGEIG Solve the generalized eigen decomposition for symmetric matrices
• slcountvote SLCOUNTRULE Counts the votings to make histogram
• slhistmetric_cp SLHISTMETRIC_CP Computes the metrics between corresponding pairs of histograms
• slhistmetric_pw SLHISTMETRIC_PW Computes distance metrics between histograms pairwisely
• slvechist SLVECHIST Makes the histogram on prototype vectors by voting
• slvote SLVOTE Builds histogram by voting (or fuzzy voting)
• slfilepart SLFILEPARTS Extracts a specified part of a file path string
• slimgsetprep SLIMGSETPREP organizes the images in a MATLAB friendly way
• slaffinitymat SLAFFINITYMAT Constructs an affinity matrix
• sledges2adjmat SLEDGES2ADJMAT Creates an adjacency matrix from edge set
• slfindnn SLFINDNN Finds the nearest neighbors using specified strategy
• slnngraph SLNNGRAPH Constructs a nearest neighborhood based graph
• slpruneedgeset SLPRUNEEDGESET Prunes the edge set
• slpwgraph SLVALGRAPH Constructs a graph by computing values between nodes pairwisely
• slapplyfilterband SLAPPLYFILTERBAND Applies filter band to filter images in batch
• slcalcpadsize SLCALCPADSIZE Calculates the size of padding
• slimginterp SLIMGINTERP Performs image based interpolation
• slpadimg SLPADIMG Pads an image with boundary
• slpixneighbors SLPIXNEIGHBORS Extracts the neighborhood of pixels from an image
• slresizeimg SLRESIZEIMG Resizes the images by interpolation
• slgda SLGDA Performs Baudat's Generalized Discriminant Analysis
• slkernelfea SLKERNELFEA Extracts kernelized mapped features
• slkernelscatter SLKERNELSCATTER Compute the kernelized scatter matrix
• slkfd SLKFD Perform Kernelized Fisher Discriminant Analysis
• sliterproc SLITERPROC Runs a general iterative process
• slproglearn SLPROGLEARN Performs Progressive Learning from sample source
• slreevallearn SLREEVALLEARN Performs an iterative learning based on re-evaluation
• slcmds SLMDS Performs Classical Multidimensional scaling
• slgembed SLGEMBED Solves the general graph-based embedding
• slisomap SLISOMAP Performs ISOMAP manifold embedding
• slkernelembed SLKERNELEMBED Finds an embedding space to preserve inner products
• sllemap SLLEMAP Solves Laplacian Eigenmap Embedding
• sllle SLLLE Performs Locally Linear Embedding
• sllle_wg SLLLE_WG Solves the Locally Linear Embedding from weight graph
• sllocalcoordalign SLLOCALCOORDALIGN Performs optimal local coordinate alignment
• sllocaltancoords SLLOCALTANCOORDS Computes the local tangent coordinates
• slnbreconweights SLNBRECONWEIGHTS Solve the optimal reconstruction weights on given neighbors
• slcorrectrate SLCORRECTRATE Computes the correct rate of classification
• slcorrectrate_blks SLCORRECTRATE_BLKS Computes the correct rate based on blockwise scores
• slcumuscore SLCUMUSCORE Computes the cumulative score on multi-class classification
• slgetroc SLGETROC Computes some point from ROC Curve
• slhistroc SLHISTROC Computes the ROC curve from value histogram
• slroc SLROC Computes the ROC
• slverifyroc SLVERIFYROC Computes the verification ROC
• slverifyroc_blks SLVERIFYROC_BLKS Computes the verification ROC for blockwise score matrix
• sllinreg SLLINREG Performs Multivariate Linear Regression and Ridge Regression
• sllinrega SLLINREGA Performs Augmented Multivariate Linear Regression
• sllogistreg SLLOGISTREG Performs Multivariate Logistic Regression
• slcovlarge SLCOVLARGE Computes large covariance matrix using memory-efficient way
• slgaussinv SLGAUSSINV Computes the inverse of variance/covariance in Gaussian model
• slgaussmdist SLGAUSSMDIST Computes the Malanobis distance between samples and centers
• slgausspdf SLGAUSSPDF Computes the probability density of Gaussian models
• slposterioritrue SLPOSTERIORITRUE Computes the posteriori that samples belong to true class
• slapplypca SLAPPLYPCA Applies PCA model to samples
• slcopca SLCOPCA Performs Coupled PCA Learning
• sldlda SLDLDA Performs Direct Linear Discriminant Analysis
• slfld SLFLD Performs Fisher Linear Discriminant Analysis
• slgbfe SLGBFE Performs Graph-based Feature Extraction Learning
• sllda SLLDA Trains a Linear Discriminant Model using specified method
• slnlda SLNLDA Performs Nullspace-based Linear Discriminant Analysis
• slpcareduce SLPCAREDUCE Reduces a PCA model to lower dimension
• slscatter SLSCATTER Compute the scatter matrix
• sl2dmatcov SL2DMATCOV Computes the 2D matrix-covariances
• sl2dpca_apply SL2DPCA_APPLY Applies 2D PCA onto a set of matrices to extract features
• sl2dpcaex SL2DPCAEX Learns Extended 2D PCA on a set of matrix samples
• slarrmean SLARRMEAN Computes the mean of a set of arrays
• slpartitionpca SLPARTITIONPCA Performs Partition-based PCA and saves the models
• slpartitionpca_apply SLPARTITIONPCA_APPLY applies partition-based PCA to a set of arrays
• slpartitionpca_construct SLPARTITIONPCA_CONSTRUCT Constructs the array from features
• sltensor_fold SLTENSOR_FOLD Folds a matrix into a tensor
• sltensor_multiply SLTENSOR_MULTIPLY Multiplies a tensor and a matrix
• sltensor_unfold SLTENSOR_UNFOLD Unfolds a tensor to a matrix
• slfiltertext SLFILTERTEXT Processes the lines of text
• sladdpath SLADDPATH Adds dirpath to precede the filenames
• slclassify SLCLASSIFY Classifies a set of samples according to final scores
• slclassify_blks SLCLASSIFY_BLKS Classifies samples according to blockwise scores
• slpartition SLPARTITION Partition a range into blocks in a specified manner
• sldrawellipse SLDRAWELLIPSE Draws an ellipse on current axis
• sldrawgraph SLDRAWGRAPH Draws a graph
• sldrawlabeledpts SLDRAWLABELEDPTS Draws Labeled 2D or 3D points
• sldrawmultiellipse SLDRAWMULTIELLIPSE Draws multiple ellipses on axies

SOURCE CODE

0001 function raise_lackinput(funcname, nmin)
0002 %RAISE_LACKINPUT Raises an error indicating lack of input argument
0003 %
0004 % $ Syntax $
0005 %   - raise_lackinput(funcname, nmin)
0006 %
0007 % $ Arguments $
0008 %   - funcname:         the name of invoking function
0009 %   - nmin:             the minimum number of input arguments
0010 %
0011 % $ Description $
0012 %   - raise_lackinput(funcname, nmin) raises an error message indicating
0013 %     that the number of arguments input to the function specified by
0014 %     funcname is not enough. (It should be at least nmin)
0015 %
0016 % $ History $
0017 %   - Created by Dahua Lin on Nov 18th, 2005
0018 %
0019 
0020 error('sltoolbox:lackinput', ...
0021     'The number of input argument to %s should be at least %d.', ...
0022     funcname, nmin);
0023 
0024

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