fixed syntax error
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59cf6e19a5
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4d70cb8261
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@ -194,12 +194,12 @@ Variant (1/3), substract local mean.
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*/
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void localMean ( mldata_t *mlData, point_t points[] ) {
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double *localWeights = (double *) malloc ( sizeof(double) * mlData->windowSize + 1);
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memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize) );
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memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize + 1);
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char fileName[50];
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const unsigned xErrorLength = mlData->samplesCount;
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double xError[xErrorLength];
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unsigned i, xCount = 0; // Runtime vars
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double xError[xErrorLength];
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unsigned i, xCount = 0; // Runtime vars
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mkFileName(fileName, sizeof(fileName), LOCAL_MEAN); // Create Logfile and its filename
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FILE* fp4 = fopen(fileName, "w");
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@ -233,9 +233,9 @@ void localMean ( mldata_t *mlData, point_t points[] ) {
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xSquared = 1.0;
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}
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for ( i = 1; i < _arrayLength; i++ ) { // Update weights
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localWeights[i] = localWeights[i - 1] + mlData->learnrate * xError[xCount] // Substract localMean
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localWeights[i - 1] = localWeights[i - 1] + mlData->learnrate * xError[xCount] // Substract localMean
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* ( (xSamples[xCount - i] - xMean) / xSquared );
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fprintf( fp9, "%lf;", localWeights[i] );
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fprintf( fp9, "%lf;", localWeights[i - 1] );
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}
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fprintf(fp9, "\n");
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fprintf(fp4, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
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@ -275,7 +275,7 @@ substract direct predecessor
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*/
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void directPredecessor( mldata_t *mlData, point_t points[]) {
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double *localWeights = (double * ) malloc ( sizeof(double) * mlData->windowSize + 1 );
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memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize));
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memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize +1);
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char fileName[512];
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const unsigned xErrorLength = mlData->samplesCount;
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@ -312,9 +312,9 @@ void directPredecessor( mldata_t *mlData, point_t points[]) {
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xSquared = 1.0;
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}
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for ( i = 1; i < _arrayLength; i++ ) { // Update weights
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localWeights[i] = localWeights[i-1] + mlData->learnrate * xError[xCount]
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localWeights[i - 1] = localWeights[i-1] + mlData->learnrate * xError[xCount]
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* ( (xSamples[xCount - 1] - xSamples[xCount - i - 1]) / xSquared);
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fprintf( fp9, "%lf\n", localWeights[i] );
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fprintf( fp9, "%lf\n", localWeights[i - 1] );
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}
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fprintf(fp3, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
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@ -352,8 +352,8 @@ differential predecessor.
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*/
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void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
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double *localWeights = (double *) malloc ( sizeof(double) * mlData->windowSize + 1 );
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memcpy(localWeights, mlData->weights, sizeof(double) * sizeof(mlData->windowSize));
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memcpy(localWeights, mlData->weights, sizeof(double) * mlData->windowSize + 1);
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const unsigned xErrorLength = mlData->samplesCount;
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char fileName[512];
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double xError[xErrorLength];
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@ -391,9 +391,9 @@ void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
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}
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for (i = 1; i < _arrayLength; i++) {
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localWeights[i] = localWeights[i-1] + mlData->learnrate * xError[xCount]
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localWeights[i - 1] = localWeights[i - 1] + mlData->learnrate * xError[xCount]
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* ((xSamples[xCount - i] - xSamples[xCount - i - 1]) / xSquared);
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fprintf( fp9, "%lf\n", localWeights[i] );
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fprintf( fp9, "%lf\n", localWeights[i - 1] );
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}
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fprintf(fp6, "%d\t%f\t%f\t%f\n", xCount, xPredicted, xActual, xError[xCount]); // Write to logfile
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@ -411,7 +411,7 @@ void differentialPredecessor ( mldata_t *mlData, point_t points[] ) {
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for (i = 1; i < xErrorLength; i++) { // Mean square
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deviation += (xError[i] - mean) * (xError[i] - mean);;
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deviation += (xError[i] - mean) * (xError[i] - mean);
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}
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deviation /= xErrorLength;
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printf("mean square err: %lf, variance: %lf\t\t\tdifferential Predecessor\n", mean, deviation);
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