remove libraries

Author: lucastsutsui

embml/sklearnModels/embml_sklearn_DecisionTreeClassifier.py

@@ -124,7 +124,6 @@ def write_output_rules(classifier, opts):
  utils.write_define("INPUT_SIZE", str(classifier.inputSize))
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/sklearnModels/embml_sklearn_LinearSVC.py

@@ -62,7 +62,6 @@ def write_output(classifier, opts):
  utils.write_define("INPUT_SIZE", str(len(classifier.coef[0])))
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/sklearnModels/embml_sklearn_LogisticRegression.py

@@ -62,7 +62,6 @@ def write_output(classifier, opts):
  utils.write_define("INPUT_SIZE", str(len(classifier.coef[0])))
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/sklearnModels/embml_sklearn_MLPClassifier.py

@@ -70,7 +70,7 @@ def activation_function(activation, opts):
  ("%.10f" % opts['pwlPoints'][0])), tabs=1) + \
  utils.write_ret((utils.toFxp(0.0, opts) \
  if opts['useFxp'] else \
- "0.0"), tabs=2) + \
+ "0.0f"), tabs=2) + \
  utils.write_end(tabs=1)
 
  # Internal points
@@ -93,7 +93,7 @@ def activation_function(activation, opts):
  pwlCode += utils.write_else(tabs=1) + \
  utils.write_ret((utils.toFxp(1.0, opts) \
  if opts['useFxp'] else \
- "1.0"), tabs=2) + \
+ "1.0f"), tabs=2) + \
  utils.write_end(tabs=1)
 
  return pwlCode
@@ -106,18 +106,18 @@ def activation_function(activation, opts):
  ", fxp_div(x, fxp_sum(" + \
  utils.toFxp(1.0, opts) + ", my_abs(x)))))") \
  if opts['useFxp'] else \
- "0.5 * (x / (1.0 + my_abs(x))) + 0.5")
+ "0.5f * (x / (1.0f + my_abs(x))) + 0.5f")
  else:
  # Using original sigmoid function
  funcCode = (("fxp_div(" + utils.toFxp(1.0, opts) +\
  ", fxp_sum(" + utils.toFxp(1.0, opts) +\
  ", fxp_exp(-x)))")\
  if opts['useFxp'] else \
- "1.0 / (1.0 + expf(-x))")
+ "1.0f / (1.0f + expf(-x))")
  elif activation == 'relu':
  funcCode = (("max(" + utils.toFxp(0, opts) + ", x)")\
  if opts['useFxp'] else \
- "max(0.0, x)")
+ "max(0.0f, x)")
  else:
  print ("Activation function " + activation + " not supported!")
  exit(1)
@@ -277,7 +277,6 @@ def write_output(classifier, opts):
  utils.write_define("my_abs(x)", "(((x) > (0.0)) ? (x) : -(x))") 
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/sklearnModels/embml_sklearn_SVC_Kernel.py

@@ -260,7 +260,6 @@ def write_output(classifier, opts):
  utils.write_define("MODEL_L", str(classifier.model_l))
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/wekaModels/embml_weka_J48.py

@@ -245,7 +245,6 @@ def write_output_rules(weka_j48, opts):
  utils.write_define("INPUT_SIZE", str(len(weka_j48.attributes)))
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \

embml/wekaModels/embml_weka_Logistic.py

@@ -150,7 +150,6 @@ def write_output(classifier, opts):
 
 
  # Include of libraries
- incls += utils.write_include("<Arduino.h>")
  if opts['useFxp']:
  incls += utils.write_define("TOTAL_BITS", str(opts['totalBits'])) + \
  utils.write_define("FIXED_FBITS", str(opts['fracBits'])) + \