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[examples] dim reduction plotting changes

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This commit is contained in:
Max Zwiessele 2016-05-03 14:37:55 +01:00
parent 61dff6e62b
commit 726d76c427
1 changed files with 7 additions and 7 deletions
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14
GPy/examples/dimensionality_reduction.py
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@ -340,7 +340,7 @@ def bgplvm_simulation(optimize=True, verbose=1,
gtol=.05)
if plot:
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
m.kern.plot_ARD()
return m
def gplvm_simulation(optimize=True, verbose=1,
@ -364,7 +364,7 @@ def gplvm_simulation(optimize=True, verbose=1,
gtol=.05)
if plot:
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
m.kern.plot_ARD()
return m
def ssgplvm_simulation(optimize=True, verbose=1,
plot=True, plot_sim=False,
@ -388,7 +388,7 @@ def ssgplvm_simulation(optimize=True, verbose=1,
gtol=.05)
if plot:
m.X.plot("SSGPLVM Latent Space 1D")
m.kern.plot_ARD('SSGPLVM Simulation ARD Parameters')
m.kern.plot_ARD()
return m
def bgplvm_simulation_missing_data(optimize=True, verbose=1,
@ -418,7 +418,7 @@ def bgplvm_simulation_missing_data(optimize=True, verbose=1,
gtol=.05)
if plot:
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
m.kern.plot_ARD()
return m
def bgplvm_simulation_missing_data_stochastics(optimize=True, verbose=1,
@ -448,7 +448,7 @@ def bgplvm_simulation_missing_data_stochastics(optimize=True, verbose=1,
gtol=.05)
if plot:
m.X.plot("BGPLVM Latent Space 1D")
m.kern.plot_ARD('BGPLVM Simulation ARD Parameters')
m.kern.plot_ARD()
return m
@ -469,7 +469,7 @@ def mrd_simulation(optimize=True, verbose=True, plot=True, plot_sim=True, **kw):
m.optimize(messages=verbose, max_iters=8e3)
if plot:
m.X.plot("MRD Latent Space 1D")
m.plot_scales("MRD Scales")
m.plot_scales()
return m
def mrd_simulation_missing_data(optimize=True, verbose=True, plot=True, plot_sim=True, **kw):
@ -496,7 +496,7 @@ def mrd_simulation_missing_data(optimize=True, verbose=True, plot=True, plot_sim
m.optimize('bfgs', messages=verbose, max_iters=8e3, gtol=.1)
if plot:
m.X.plot("MRD Latent Space 1D")
m.plot_scales("MRD Scales")
m.plot_scales()
return m
def brendan_faces(optimize=True, verbose=True, plot=True):