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c164900
train
// Creates mat.Vector of most likely component for each observation
{ "resource": "" }
c164901
train
// Returns a symmetric matrix with variance on the diagonal
{ "resource": "" }
c164902
train
// Creates an n_comps x n_feats array of means
{ "resource": "" }
c164903
train
// Creates a n_comps array of n_feats x n_feats mat.Symmetrics
{ "resource": "" }
c164904
train
// Compues the euclidian distance between two parameters
{ "resource": "" }
c164905
train
// Helper functions // Finds the min value of a mat.Vector
{ "resource": "" }
c164906
train
// Find the max value of a mat.Vector
{ "resource": "" }
c164907
train
// Converts a mat.Vector to an array of ints
{ "resource": "" }
c164908
train
// Computes column Means of a mat.Dense
{ "resource": "" }
c164909
train
// Subest a mat.Dense with rows matching a target value
{ "resource": "" }
c164910
train
// Returns values for a square array with ones on the main diagonal
{ "resource": "" }
c164911
train
// Generates an array of values for symmetric matrix
{ "resource": "" }
c164912
train
// SerializeInstancesToDenseARFF writes the given FixedDataGrid to a // densely-formatted ARFF file.
{ "resource": "" }
c164913
train
// SerializeInstancesToDenseARFFWithAttributes writes the given FixedDataGrid to a // densely-formatted ARFF file with the header Attributes in the order given.
{ "resource": "" }
c164914
train
// ParseARFFGetRows returns the number of data rows in an ARFF file.
{ "resource": "" }
c164915
train
// ParseDenseARFFToInstances parses the dense ARFF File into a FixedDataGrid
{ "resource": "" }
c164916
train
// NewOneVsAllModel creates a new OneVsAllModel. The argument // must be a function which returns a base.Classifier ready for training.
{ "resource": "" }
c164917
train
// Build builds the kdtree with specific data.
{ "resource": "" }
c164918
train
// buildHandle builds the kdtree recursively.
{ "resource": "" }
c164919
train
// NewInstancesViewFromVisible creates a new InstancesView from a source // FixedDataGrid, a slice of row numbers and a slice of Attributes. // // Only the rows specified will appear in this InstancesView, and they will // appear in the same order they appear within the rows array. // // Only the Attributes specified w...
{ "resource": "" }
c164920
train
// NewInstancesViewFromAttrs creates a new InstancesView from a source // FixedDataGrid and a slice of Attributes. // // Only the Attributes specified will appear in this InstancesView.
{ "resource": "" }
c164921
train
// GetAttribute returns an Attribute specification matching an Attribute // if it has not been filtered. // // The AttributeSpecs returned are the same as those returned by the // source FixedDataGrid.
{ "resource": "" }
c164922
train
// AllAttributes returns every Attribute which hasn't been filtered.
{ "resource": "" }
c164923
train
// AddClassAttribute adds the given Attribute to the set of defined // class Attributes, if it hasn't been filtered.
{ "resource": "" }
c164924
train
// RemoveClassAttribute removes the given Attribute from the set of // class Attributes.
{ "resource": "" }
c164925
train
// AllClassAttributes returns all the Attributes currently defined // as being class Attributes.
{ "resource": "" }
c164926
train
// Size Returns the number of Attributes and rows this InstancesView // contains.
{ "resource": "" }
c164927
train
// String returns a human-readable summary of this InstancesView.
{ "resource": "" }
c164928
train
// Attributes returns a slice of Attributes in this FixedAttributeGroup
{ "resource": "" }
c164929
train
// AddAttribute adds an attribute to this FixedAttributeGroup
{ "resource": "" }
c164930
train
// NewKnnClassifier returns a new classifier
{ "resource": "" }
c164931
train
// Fit stores the training data for later
{ "resource": "" }
c164932
train
// Save outputs a given KNN classifier.
{ "resource": "" }
c164933
train
// SaveWithPrefix outputs KNN as part of another file.
{ "resource": "" }
c164934
train
// Load reloads a given KNN classifier when it's the only thing in the output file.
{ "resource": "" }
c164935
train
// LoadWithPrefix reloads a given KNN classifier when it's part of another file.
{ "resource": "" }
c164936
train
// ReloadKNNClassifier reloads a KNNClassifier when it's the only thing in an output file.
{ "resource": "" }
c164937
train
// NewKnnRegressor mints a new classifier.
{ "resource": "" }
c164938
train
// NewMultiLayerNet returns an underlying // Network conceptuallyorganised into layers // // Layers variable = slice of integers representing // node count at each layer.
{ "resource": "" }
c164939
train
// String returns a human-readable summary of this network.
{ "resource": "" }
c164940
train
// Predict uses the underlying network to produce predictions for the // class variables of X. // // Can only predict one CategoricalAttribute at a time, or up to n // FloatAttributes. Set or unset ClassAttributes to work around this // limitation.
{ "resource": "" }
c164941
train
// InstancesFromMat64 returns a new Mat64Instances from a literal provided.
{ "resource": "" }
c164942
train
// GetAttribute returns an AttributeSpec from an Attribute field.
{ "resource": "" }
c164943
train
// AllAttributes returns every defined Attribute.
{ "resource": "" }
c164944
train
// AddClassAttribute adds an attribute to the class set.
{ "resource": "" }
c164945
train
// RemoveClassAttribute removes an attribute to the class set.
{ "resource": "" }
c164946
train
// AllClassAttributes returns every class attribute.
{ "resource": "" }
c164947
train
// Get returns the bytes at a given position
{ "resource": "" }
c164948
train
// MapOverRows is a convenience function for iteration
{ "resource": "" }
c164949
train
// Size returns the number of Attributes, then the number of rows
{ "resource": "" }
c164950
train
// getSplitEntropyFast determines the entropy of the target // class distribution after splitting on an base.Attribute. // It is similar to getSplitEntropy, but accepts array of slices, // to avoid map access overhead.
{ "resource": "" }
c164951
train
// getSplitEntropy determines the entropy of the target // class distribution after splitting on an base.Attribute
{ "resource": "" }
c164952
train
// getBaseEntropy determines the entropy of the target // class distribution before splitting on an base.Attribute
{ "resource": "" }
c164953
train
// windows api to get the console screen buffer info
{ "resource": "" }
c164954
train
// Run executes the Packer build step that creates a GCE machine image. // // The image is created from the persistent disk used by the instance. The // instance must be deleted and the disk retained before doing this step.
{ "resource": "" }
c164955
train
// RenderInterface renders any value and returns the resulting value.
{ "resource": "" }
c164956
train
// ValidateInterface renders any value and returns the resulting value.
{ "resource": "" }
c164957
train
// Include checks whether a key should be included.
{ "resource": "" }
c164958
train
// CheckFloatingIP gets a floating IP by its ID and checks if it is already // associated with any internal interface. // It returns floating IP if it can be used.
{ "resource": "" }
c164959
train
// FindFreeFloatingIP returns free unassociated floating IP. // It will return first floating IP if there are many.
{ "resource": "" }
c164960
train
// GetInstancePortID returns internal port of the instance that can be used for // the association of a floating IP. // It will return an ID of a first port if there are many.
{ "resource": "" }
c164961
train
// CheckFloatingIPNetwork checks provided network reference and returns a valid // Networking service ID.
{ "resource": "" }
c164962
train
// GetFloatingIPNetworkIDByName searches for the external network ID by the provided name.
{ "resource": "" }
c164963
train
// waitForState will spin in a loop forever waiting for state to // reach a certain target.
{ "resource": "" }
c164964
train
// MultistepDebugFn will return a proper multistep.DebugPauseFn to // use for debugging if you're using multistep in your builder.
{ "resource": "" }
c164965
train
// Creates the main directory used to house the VMs files and folders // during the build
{ "resource": "" }
c164966
train
// Cleanup removes the build directory
{ "resource": "" }
c164967
train
// New returns a flag.Value implementation for parsing flags with a one-of-a-set value
{ "resource": "" }
c164968
train
// Runs the provisioners in order.
{ "resource": "" }
c164969
train
// Run sets the value of "parallels_tools_path".
{ "resource": "" }
c164970
train
// Run sets up the output directory.
{ "resource": "" }
c164971
train
// Core returns the core for the given template given the configured // CoreConfig and user variables on this Meta.
{ "resource": "" }
c164972
train
// BuildNames returns the list of builds that are in the given core // that we care about taking into account the only and except flags.
{ "resource": "" }
c164973
train
// FlagSet returns a FlagSet with the common flags that every // command implements. The exact behavior of FlagSet can be configured // using the flags as the second parameter, for example to disable // build settings on the commands that don't handle builds.
{ "resource": "" }
c164974
train
// Run uploads a file containing the version of Parallels Desktop.
{ "resource": "" }
c164975
train
// Prepare performs basic validation on a TargetImageConfig struct.
{ "resource": "" }
c164976
train
// Run adds a virtual CD-ROM device to the VM and attaches Parallels Tools ISO image. // If ISO image is not specified, then this step will be skipped.
{ "resource": "" }
c164977
train
// Cleanup removes the virtual CD-ROM device attached to the VM.
{ "resource": "" }
c164978
train
// NewArtifact returns a Parallels artifact containing the files // in the given directory.
{ "resource": "" }
c164979
train
// DebugPauseDefault is the default pause function when using the // DebugRunner if no PauseFn is specified. It outputs some information // to stderr about the step and waits for keyboard input on stdin before // continuing.
{ "resource": "" }
c164980
train
// SetExited is a helper for setting that this process is exited. This // should be called by communicators who are running a remote command in // order to set that the command is done.
{ "resource": "" }
c164981
train
// Wait for command exit and return exit status
{ "resource": "" }
c164982
train
// CommHost returns the VM's IP address which should be used to access it by SSH.
{ "resource": "" }
c164983
train
// Unmarshal is wrapper around json.Unmarshal that returns user-friendly // errors when there are syntax errors.
{ "resource": "" }
c164984
train
// generateUserData returns the user data as a base64 encoded string.
{ "resource": "" }
c164985
train
// Decode decodes the configuration into the target and optionally // automatically interpolates all the configuration as it goes.
{ "resource": "" }
c164986
train
// DetectContext builds a base interpolate.Context, automatically // detecting things like user variables from the raw configuration params.
{ "resource": "" }
c164987
train
// MultiErrorAppend is a helper function that will append more errors // onto a MultiError in order to create a larger multi-error. If the // original error is not a MultiError, it will be turned into one.
{ "resource": "" }
c164988
train
// ServerStateRefreshFunc returns a StateRefreshFunc that is used to watch // an openstack server.
{ "resource": "" }
c164989
train
// WaitForState watches an object and waits for it to achieve a certain // state.
{ "resource": "" }
c164990
train
// Tells whether or not the underlying process has exited.
{ "resource": "" }
c164991
train
// Returns a builder implementation that is communicating over this // client. If the client hasn't been started, this will start it.
{ "resource": "" }
c164992
train
// Returns a hook implementation that is communicating over this // client. If the client hasn't been started, this will start it.
{ "resource": "" }
c164993
train
// Returns a post-processor implementation that is communicating over // this client. If the client hasn't been started, this will start it.
{ "resource": "" }
c164994
train
// Returns a provisioner implementation that is communicating over this // client. If the client hasn't been started, this will start it.
{ "resource": "" }
c164995
train
// Get mac address for VM.
{ "resource": "" }
c164996
train
// Get ip address for mac address.
{ "resource": "" }
c164997
train
// Get host name from ip address
{ "resource": "" }
c164998
train
// Finds the IP address of a host adapter connected to switch
{ "resource": "" }
c164999
train
// Type scan codes to virtual keyboard of vm
{ "resource": "" }