Module ImportFrom alias Import alias Import alias identifier Expr Call NameLoad Str Expr Call NameLoad Str Assign NameStore Call AttributeLoad NameLoad attr Str Assign NameStore SubscriptLoad NameLoad Index Str Assign NameStore SubscriptLoad NameLoad Index Str Assign NameStore SubscriptLoad NameLoad Index Str Expr Call NameLoad Str Assign NameStore Call AttributeLoad NameLoad attr Expr Call NameLoad Str Expr Call AttributeLoad NameLoad attr NameLoad NameLoad Expr Call AttributeLoad NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr Expr Call AttributeLoad NameLoad attr NameLoad NameLoad Expr Call NameLoad Str Expr Call AttributeLoad NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr Expr Call NameLoad Str Assign NameStore Call AttributeLoad NameLoad attr Assign NameStore BinOpAdd Call AttributeLoad AttributeLoad NameLoad attr attr Call AttributeLoad AttributeLoad NameLoad attr attr Assign NameStore Call AttributeLoad AttributeLoad NameLoad attr attr keyword Num Expr Call AttributeLoad NameLoad attr keyword NameLoad keyword NameLoad Expr Call AttributeLoad NameLoad attr NameLoad NameLoad Expr Call NameLoad Str Call NameLoad AttributeLoad NameLoad attr Num Assign TupleStore NameStore NameStore NameStore NameStore NameStore Call AttributeLoad NameLoad attr NameLoad Expr Call AttributeLoad NameLoad attr Assign NameStore AttributeLoad NameLoad attr Assign TupleStore NameStore NameStore NameStore NameStore NameStore Call AttributeLoad NameLoad attr NameLoad NameLoad Expr Call AttributeLoad NameLoad attr keyword Call AttributeLoad NameLoad attr Num Expr Call NameLoad Str
N/A __future__ print_function N/A pyGPs N/A numpy np N/A N/A print N/A N/A print ---------------------GPR DEMO------------------------- N/A demoData N/A N/A np load regression_data.npz N/A x N/A demoData N/A x N/A y N/A demoData N/A y N/A z N/A demoData N/A xstar N/A N/A print Basic Example N/A model N/A N/A pyGPs GPR N/A N/A print Before Optimization N/A N/A N/A model setData x y N/A N/A N/A model predict z N/A N/A N/A model plot N/A N/A N/A model optimize x y N/A N/A print After Optimization N/A N/A N/A model predict z N/A N/A N/A model plot N/A N/A print More Advanced Example (using a non-zero mean and Matern7 kernel) N/A model N/A N/A pyGPs GPR N/A m N/A N/A N/A N/A pyGPs mean Const N/A N/A N/A pyGPs mean Linear N/A k N/A N/A N/A pyGPs cov Matern d 7 N/A N/A N/A model setPrior mean m kernel k N/A N/A N/A model optimize x y N/A N/A print Optimized negative log marginal likelihood: N/A round N/A model nlZ 3 N/A N/A ym ys2 fmu fs2 lp N/A N/A model predict z N/A N/A N/A model plot N/A post N/A model posterior N/A N/A ym ys2 fmu fs2 lp N/A N/A model predict_with_posterior post z N/A N/A N/A model setNoise log_sigma N/A N/A np log 0.1 N/A N/A print --------------------END OF DEMO-----------------------