Weather casting with Machine Learning (SVM and SRNN).
Dependencies: EthernetInterface GraphicHandler NTPClient SRNN SVM SensorModule mbed-rtos mbed
Diff: setup.cpp
- Revision:
- 6:29d393d430d0
- Parent:
- 5:b61f3f5b0fc8
--- a/setup.cpp Thu Feb 19 19:21:16 2015 +0000 +++ b/setup.cpp Sun Feb 22 01:06:19 2015 +0000 @@ -12,6 +12,7 @@ int* svm_tmp_sample_label = new int[MCSVM_NUM_SAMPLES]; float* svm_tmp_mc_alpha = new float[MCSVM_NUM_SAMPLES * NUM_WEATHERS * (NUM_WEATHERS - 1) / 2]; + // You can use /dat/SVM_SAMP.txt svm_setup_fp = fopen( "/local/SVM_SAMP.CSV" , "r" ); if( svm_setup_fp == NULL ) { fprintf( stderr, "Error in svm setup : sample file cannot open. \r \n" ); @@ -42,6 +43,8 @@ // Thank you freopen. // Here, we should not use fclose -> fopen + + // You can use /dat/SVM_ALPH.txt svm_setup_fp = freopen("/local/SVM_ALPH.CSV", "r", svm_setup_fp ); fflush( svm_setup_fp ); // required. @@ -192,7 +195,7 @@ printf("SVM ...OK \r\n"); srnn_setup(); printf("SRNN ...OK \r\n"); - sensor_setup(); + //sensor_setup(); printf("SENSOR ...OK \r\n"); // network_setup(); jst_setup(2015, 2, 20, 4, 0);