def initialize(self):
"""
Initialize this bit.
"""
# Position on X axis
self.x = -1
# Position on Y axis
self.y = -1
# States of this element
self.is_active = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_falsely_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
# Statistics
self.stats_activation_count = 0
self.stats_activation_rate = 0.0
self.stats_predition_count = 0
self.stats_precision_rate = 0.0
# 3D object reference
self.tree3d_initialized = False
self.tree3d_pos = (0, 0, 0)
self.tree3d_item_np = None
self.tree3d_selected = False
def __init__(self):
"""
Initializes a new instance of this class.
"""
# Index of this cell in the temporal pooler.
self.index = -1
# Position on Z axis
self.z = -1
# List of distal segments of this cell.
self.segments = []
# States of this element
self.is_learning = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_active = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_falsely_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
# Statistics
self.stats_activation_count = 0
self.stats_activation_rate = 0.0
self.stats_predition_count = 0
self.stats_precision_rate = 0.0
# 3D object reference
self.tree3d_initialized = False
self.tree3d_pos = (0, 0, 0)
self.tree3d_item_np = None
self.tree3d_selected = False
def initialize(self):
"""
Initialize this bit.
"""
self.x = -1
"""Position on X axis"""
self.y = -1
"""Position on Y axis"""
# States of this element
self.isActive = MachineState(False, maxPreviousSteps)
self.isPredicted = MachineState(False, maxPreviousSteps)
self.isFalselyPredicted = MachineState(False, maxPreviousSteps)
#region Statistics properties
self.statsActivationCount = 0
self.statsActivationRate = 0.
self.statsPreditionCount = 0
self.statsPrecisionRate = 0.
#endregion
#region 3d-tree properties (simulation form)
self.tree3d_initialized = False
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
self.tree3d_item = None
self.tree3d_selected = False
def __init__(self):
"""
Initializes a new instance of this class.
"""
# Index of this cell in the spatial pooler.
self.index_sp = -1
# Index of this synapse in the temporal pooler.
self.index_tp = -1
# An input element is a cell in case of the source be a column or then a bit in case of the source be a sensor.
self.input_elem = None
# Permanence of this synapse.
self.permanence = MachineState(0.0, MAX_PREVIOUS_STEPS)
# States of this element
self.is_connected = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_falsely_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_removed = MachineState(False, MAX_PREVIOUS_STEPS)
# Statistics
self.stats_connection_count = 0
self.stats_connection_rate = 0.0
self.stats_predition_count = 0
self.stats_precision_rate = 0.0
# 3D object reference
self.tree3d_initialized = False
self.tree3d_item_np = None
self.tree3d_selected = False
def __init__(self, type):
"""
Initializes a new instance of this class.
"""
# Determine if this segment is proximal or distal.
self.type = type
# Index of this segment in the temporal pooler.
self.index_tp = -1
# List of distal synapses of this segment.
self.synapses = []
# States of this element
self.is_active = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_falsely_predicted = MachineState(False, MAX_PREVIOUS_STEPS)
self.is_removed = MachineState(False, MAX_PREVIOUS_STEPS)
# Statistics
self.stats_activation_count = 0
self.stats_activation_rate = 0.0
self.stats_predition_count = 0
self.stats_precision_rate = 0.0
# 3D object reference
self.tree3d_initialized = False
self.tree3d_start_pos = (0, 0, 0)
self.tree3d_end_pos = (0, 0, 0)
self.tree3d_item_np = None
self.tree3d_selected = False
def initialize(self):
"""
Initialize this node.
"""
# Create Classifier instance with appropriate parameters
self.minProbabilityThreshold = 0.0001
self.steps = []
for step in range(maxFutureSteps):
self.steps.append(step + 1)
self.classifier = CLAClassifier(steps=self.steps)
# Increase history according to inference flag
if self.enableInference:
maxLen = maxPreviousStepsWithInference
self.bestPredictedValue = MachineState(0, maxLen)
else:
maxLen = maxPreviousSteps
self.currentValue = MachineState(0, maxLen)
def __init__(self):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.dataSourceFieldName = ''
"""Target field of the database table or file."""
self.dataSourceFieldDataType = FieldDataType.string
"""Data type of the field returned by database table or file."""
self.encoder = None
"""Optional encoder to convert raw data to htm input and vice-versa."""
self.encoderModule = ""
"""Module name which encoder class is imported."""
self.encoderClass = ""
"""Class name which encode or decode values."""
self.encoderParams = ""
"""Parameters passed to the encoder class constructor."""
self.encoderFieldName = ""
"""Field name returned by encoder when decode() function."""
self.encoderFieldDataType = FieldDataType.string
"""Data type of the field returned by encoder."""
self.enableInference = False
"""Enable inference for this field."""
self.currentValue = MachineState(None, maxPreviousSteps)
"""Value read currently from database."""
self.bestPredictedValue = MachineState(None, maxPreviousSteps)
"""Best value predicted by network. This is need to build predictions chart."""
self.predictedValues = MachineState(None, maxPreviousSteps)
"""Values predicted by network."""
def __init__(self, type):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.type = type
"""Determine if this segment is proximal or distal."""
self.indexTP = -1
"""Index of this segment in the temporal pooler."""
self.synapses = []
"""List of distal synapses of this segment."""
# States of this element
self.isActive = MachineState(False, maxPreviousSteps)
self.isPredicted = MachineState(False, maxPreviousSteps)
self.isFalselyPredicted = MachineState(False, maxPreviousSteps)
self.isRemoved = MachineState(False, maxPreviousSteps)
#region Statistics properties
self.statsActivationCount = 0
self.statsActivationRate = 0.
self.statsPreditionCount = 0
self.statsPrecisionRate = 0.
#endregion
#region 3d-tree properties (simulation form)
self.tree3d_initialized = False
self.tree3d_x1 = 0
self.tree3d_y1 = 0
self.tree3d_z1 = 0
self.tree3d_x2 = 0
self.tree3d_y2 = 0
self.tree3d_z2 = 0
self.tree3d_item = None
self.tree3d_selected = False
def __init__(self):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.indexSP = -1
"""Index of this cell in the spatial pooler."""
self.indexTP = -1
"""Index of this synapse in the temporal pooler."""
self.inputElem = None
"""An input element is a cell in case of the source be a column or then a bit in case of the source be a sensor"""
self.permanence = MachineState(0., maxPreviousSteps)
"""Permanence of this synapse."""
# States of this element
self.isConnected = MachineState(False, maxPreviousSteps)
self.isPredicted = MachineState(False, maxPreviousSteps)
self.isFalselyPredicted = MachineState(False, maxPreviousSteps)
self.isRemoved = MachineState(False, maxPreviousSteps)
#region Statistics properties
self.statsConnectionCount = 0
self.statsConnectionRate = 0.
self.statsPreditionCount = 0
self.statsPrecisionRate = 0.
#endregion
#region 3d-tree properties (simulation form)
self.tree3d_initialized = False
self.tree3d_item = None
self.tree3d_selected = False
def __init__(self):
"""
Initializes a new instance of this class.
"""
#region Instance fields
self.index = -1
"""Index of this cell in the temporal pooler."""
self.z = -1
"""Position on Z axis"""
self.segments = []
"""List of distal segments of this cell."""
# States of this element
self.isLearning = MachineState(False, maxPreviousSteps)
self.isActive = MachineState(False, maxPreviousSteps)
self.isPredicted = MachineState(False, maxPreviousSteps)
self.isFalselyPredicted = MachineState(False, maxPreviousSteps)
#region Statistics properties
self.statsActivationCount = 0
self.statsActivationRate = 0.
self.statsPreditionCount = 0
self.statsPrecisionRate = 0.
#endregion
#region 3d-tree properties (simulation form)
self.tree3d_initialized = False
self.tree3d_x = 0
self.tree3d_y = 0
self.tree3d_z = 0
self.tree3d_item = None
self.tree3d_selected = False
def buttonInit_click(self, event):
"""
Initializes the HTM-Network by creating the htm-controller to connect to events database
"""
# Initialize the network starting from top region.
start_time = time.time()
end_time = time.time()
initialized = Global.project.network.initialize()
if initialized:
self.state = State.SIMULATING
# Create a simulation
#TODO: self.simulation = Simulation(self.project, self.getProjectPath())
self.simulation = Simulation(None, None)
# Initialize time steps parameters
Global.curr_step = 0
Global.sel_step = 0
Global.time_steps_predictions_chart = MachineState(
0, MAX_PREVIOUS_STEPS_WITH_INFERENCE)
self.output_window.addText("Initialization: " +
"{0:.3f}".format(end_time -
start_time) + " secs")
self.output_window.addText("")
self.output_window.addText("Step\tTime (secs)\tAccuracy (%)")
# Perfoms actions related to time step progression.
start_time = time.time()
Global.project.network.nextStep()
Global.project.network.calculateStatistics()
end_time = time.time()
self.output_window.addText(
str(Global.curr_step + 1) +
"\t{0:.3f}".format(end_time - start_time) +
"\t{0:.3f}".format(Global.project.network.stats_precision_rate)
)
# Disable relevant buttons:
self.enableSteeringButtons(True)
self.enableSimulationButtons(True)
# Update controls
self.simulation_window.viewer_3d.initializeControls(
Global.project.network.nodes[0])
self.refreshControls()
self.update_timer.setInterval(1)
self.update_timer.start()
def __buttonInitHTM_Click(self, event):
"""
Initializes the HTM-Network by creating the htm-controller to connect to events database
"""
# Initialize the network starting from top region.
startTime = time.time()
endTime = time.time()
initialized = Global.project.network.initialize()
if initialized:
# Initialize time steps parameters
Global.currStep = 0
Global.selStep = 0
Global.timeStepsPredictionsChart = MachineState(
0, maxPreviousStepsWithInference)
Global.outputForm.addText("Initialization: " +
"{0:.3f}".format(endTime - startTime) +
" secs")
Global.outputForm.addText("")
Global.outputForm.addText("Step\tTime (secs)\tAccuracy (%)")
# Perfoms actions related to time step progression.
startTime = time.time()
Global.project.network.nextStep()
Global.project.network.calculateStatistics()
endTime = time.time()
Global.outputForm.addText(
str(Global.currStep + 1) +
"\t{0:.3f}".format(endTime - startTime) +
"\t{0:.3f}".format(Global.project.network.statsPrecisionRate))
# Disable relevant buttons:
self.__enableSteeringButtons(True)
self.__enableSimulationButtons(True)
# Update controls
Global.simulationForm.topRegion = Global.project.network.nodes[0]
Global.simulationForm.initializeControls()
self.refreshControls()
