def models(self):
"""
Access to create or load the various models available in sparktk (See the <a href="models/index.html">Models API</a>)
Examples
--------
Train an SVM model:
<skip>
>>> svm_model = tc.models.classification.svm.train(frame, 'label', ['data'])
Train a Random Forest regression model:
>>> rf = tc.models.regression.random_forest_regressor.train(frame,
... 'Class',
... ['Dim_1', 'Dim_2'],
... num_trees=1,
... impurity="variance",
... max_depth=4,
... max_bins=100)
Train a KMeans clustering model:
>>> km = tc.models.clustering.kmeans.train(frame, ["data"], k=3)
</skip>
"""
return get_lazy_loader(self, "models", implicit_kwargs={'tc': self})
def models(self):
"""
Access to create or load the various models available in sparktk (See the <a href="models/index.html">Models API</a>)
Examples
--------
Train an SVM model:
<skip>
>>> svm_model = tc.models.classification.svm.train(frame, 'label', ['data'])
Train a Random Forest regression model:
>>> rf = tc.models.regression.random_forest_regressor.train(frame,
... 'Class',
... ['Dim_1', 'Dim_2'],
... num_trees=1,
... impurity="variance",
... max_depth=4,
... max_bins=100)
Train a KMeans clustering model:
>>> km = tc.models.clustering.kmeans.train(frame, ["data"], k=3)
</skip>
"""
return get_lazy_loader(self, "models", implicit_kwargs={'tc': self})
def frame(self):
"""
Access to create or load the sparktk Frames (See the <a href="frame.m.html">Frame API</a>)
Example
-------
>>> frame = tc.frame.create([[1, 3.14, 'blue'], [7, 1.61, 'red'], [4, 2.72, 'yellow']])
>>> frame.inspect()
[#] C0 C1 C2
=====================
[0] 1 3.14 blue
[1] 7 1.61 red
[2] 4 2.72 yellow
>>> frame2 = tc.frame.import_csv("../datasets/basic.csv")
>>> frame2.inspect(5)
[#] C0 C1 C2 C3
================================
[0] 132 75.4 0 correction
[1] 133 77.66 0 fitness
[2] 134 71.22 1 proposal
[3] 201 72.3 1 utilization
[4] 202 80.1 0 commission
"""
return get_lazy_loader(self, "frame", implicit_kwargs={
'tc': self
}).frame # .frame to account for extra 'frame' in name vis-a-vis scala
def frame(self):
"""
Access to create or load the sparktk Frames (See the <a href="frame.m.html">Frame API</a>)
Example
-------
>>> frame = tc.frame.create([[1, 3.14, 'blue'], [7, 1.61, 'red'], [4, 2.72, 'yellow']])
>>> frame.inspect()
[#] C0 C1 C2
=====================
[0] 1 3.14 blue
[1] 7 1.61 red
[2] 4 2.72 yellow
>>> frame2 = tc.frame.import_csv("../datasets/basic.csv")
>>> frame2.inspect(5)
[#] C0 C1 C2 C3
================================
[0] 132 75.4 0 correction
[1] 133 77.66 0 fitness
[2] 134 71.22 1 proposal
[3] 201 72.3 1 utilization
[4] 202 80.1 0 commission
"""
return get_lazy_loader(self, "frame", implicit_kwargs={'tc': self}).frame # .frame to account for extra 'frame' in name vis-a-vis scala
def dicom(self):
"""
Access to create or load the sparktk Dicom objects (See the <a href="dicom.m.html">Dicom API</a>)
Example
-------
<skip>
>>> d = tc.dicom.import_dcm('path/to/dicom/images/')
>>> type(d)
sparktk.dicom.dicom.Dicom
</skip>
"""
return get_lazy_loader(self, "dicom", implicit_kwargs={'tc': self}).dicom # .dicom to account for extra 'dicom' in name vis-a-vis scala
def graph(self):
"""
Access to create or load the sparktk Graphs (See the <a href="graph.m.html">Graph API</a>)
Example
-------
<hide>
>>> g = tc.examples.graphs.get_movie_graph()
>>> g.save('sandbox/my_saved_graph')
</hide>
>>> g = tc.graph.load('sandbox/my_saved_graph')
"""
return get_lazy_loader(self, "graph", implicit_kwargs={'tc': self}).graph # .graph to account for extra 'graph' in name vis-a-vis scala
def dicom(self):
"""
Access to create or load the sparktk Dicom objects (See the <a href="dicom.m.html">Dicom API</a>)
Example
-------
<skip>
>>> d = tc.dicom.import_dcm('path/to/dicom/images/')
>>> type(d)
sparktk.dicom.dicom.Dicom
</skip>
"""
return get_lazy_loader(self, "dicom", implicit_kwargs={
'tc': self
}).dicom # .dicom to account for extra 'dicom' in name vis-a-vis scala
def graph(self):
"""
Access to create or load the sparktk Graphs (See the <a href="graph.m.html">Graph API</a>)
Example
-------
<hide>
>>> g = tc.examples.graphs.get_movie_graph()
>>> g.save('sandbox/my_saved_graph')
</hide>
>>> g = tc.graph.load('sandbox/my_saved_graph')
"""
return get_lazy_loader(self, "graph", implicit_kwargs={
'tc': self
}).graph # .graph to account for extra 'graph' in name vis-a-vis scala
def examples(self):
"""
Access to some example data structures
Example
-------
Get a small, built-in sparktk Frame object:
>>> cities = tc.examples.frames.get_cities_frame()
>>> cities.inspect(5)
[#] rank city population_2013 population_2010 change county
==========================================================================
[0] 1 Portland 609456 583776 4.40% Multnomah
[1] 2 Salem 160614 154637 3.87% Marion
[2] 3 Eugene 159190 156185 1.92% Lane
[3] 4 Gresham 109397 105594 3.60% Multnomah
[4] 5 Hillsboro 97368 91611 6.28% Washington
"""
return get_lazy_loader(self, "examples", implicit_kwargs={'tc': self})
def examples(self):
"""
Access to some example data structures
Example
-------
Get a small, built-in sparktk Frame object:
>>> cities = tc.examples.frames.get_cities_frame()
>>> cities.inspect(5)
[#] rank city population_2013 population_2010 change county
==========================================================================
[0] 1 Portland 609456 583776 4.40% Multnomah
[1] 2 Salem 160614 154637 3.87% Marion
[2] 3 Eugene 159190 156185 1.92% Lane
[3] 4 Gresham 109397 105594 3.60% Multnomah
[4] 5 Hillsboro 97368 91611 6.28% Washington
"""
return get_lazy_loader(self, "examples", implicit_kwargs={'tc': self})
def examples(self):
return get_lazy_loader(self, "examples", implicit_kwargs={'tc': self})
def graph(self):
return get_lazy_loader(self, "graph", implicit_kwargs={
'tc': self
}).graph # .graph to account for extra 'graph' in name vis-a-vis scala
def graph(self):
return get_lazy_loader(self, "graph", implicit_kwargs={'tc': self}).graph # .graph to account for extra 'graph' in name vis-a-vis scala
def examples(self):
return get_lazy_loader(self, "examples", implicit_kwargs={'tc': self})
def dicom(self):
return get_lazy_loader(self, "dicom", implicit_kwargs={'tc': self}).dicom # .dicom to account for extra 'dicom' in name vis-a-vis scala
def models(self):
"""access to the various models of sparktk"""
return get_lazy_loader(self, "models", implicit_kwargs={'tc': self})
def frame(self):
return get_lazy_loader(self, "frame", implicit_kwargs={'tc': self}).frame # .frame to account for extra 'frame' in name vis-a-vis scala
def dicom(self):
return get_lazy_loader(self, "dicom", implicit_kwargs={
'tc': self
}).dicom # .dicom to account for extra 'dicom' in name vis-a-vis scala
