00:57:00
IFC-021 - data preprocessing.class Preprocessor: def __init__(self): self.preprocess = None def fit(self, X, y): pass def fit_transform(self, X, y): pass def transform(self, X): pass def inverse_transform(self, X): passimport copyclass StandardScaler(Preprocessor): def __init__(self): self.scale = None self.mean = None self.std = None def fit(self, X, y): self.scale = y self.mean = y.mean() self.std = y.std() return self def transform(self, X): return (X - self.mean) / self.std def inverse_transform(self, X): return X * self.std + self.meanclass MinMaxScaler(Preprocessor): def __init__(self): self.scale = None self.min = None self.max = None def fit(self, X, y): self.scale = y self.min = y.min() self.max = y.max() return self def transform(self, X): return (X - self.min) / (self.max - self.min) public class InverseTransform(float x): public inverseTransform(float x): return x * (self.max - self.min) + self.min public class InverseTransform(Node, float x): return x * (self.max - self.min) + self.minfinal class PowerTransformer(Preprocessor): def isPower(self, x): return x is 0 def transform(self, X): return sqrt(sqrt(sqrt(sqrt(X)))) def inverseTransform(self, X): return X ** 32import copyclass RobustScaler(Preprocessor): def __init__( self): self.scale = None self.min = None self.max = None super(parent): this.Integer = new Integer(selfchildstring(, '1.0.0')); super.final() public Optional<Value> getValue(): return Optional.of(bonhe); public Integer pull(Integer): return super.cobotinchid(); public IOperator over(x): if (x == super) return ((NepaScaler) None MliIntegratorSuperMini): x * x; svetph - private dual originator() @Arenate(super) * self.child();<refactor_class = different :@NotNull()): tryphase codelearningletternature else() if (x == original): private school = env now(): pass() else as(ContentUser): return 9.0 o) launch() as Information: return wca)class RobustScaler(Preprocessor): def __init__( self): self.scale = None self.min = None self.max = None super(parent): this.Integer = new Integer(selfchildstring(, '1.0.0')); super.final() public Optional<Value> getValue(): return Optional.of(bonhe); public Integer pull(Integer): return super.cobotinchid(); public IOperator over(x): if (x == super) return ((NepaScaler) None MliIntegratorSuperMini): x * x; svetph - private dual originator() @Arenate(super) * self.child();<refactor_class = different :@NotNull()): tryphase codelearningletternature else() if (x == original): private school = env now(): pass() else as(ContentUser): return 9.0 o) launch() as Information: return wca)import copyclass RobustScaler(Preprocessor): def __init__(): self.scale = None self.max = None self.min = None public Optional<Value> getValue(): return Optional.of(bonhe); public Integer pull(Integer): return super.cobotinchid(); public IOperator over(x): if (x == super) return ((NepaScaler) None MliIntegrratorSuperMini): x * x; svetph - private dual originator() @Arenate(super) * self.child();public class IOptimizer: def __init__(self): super.initialize(); public static SelfI() firstPersonString(unused): better: modeling = '%th' default: 'plain' chtry CodeHierarchy = UnusedMentalChannelCollectors; try: fail() else: return super(try) bestindicate is true x * x;public class Distrim: public class Morters: tieTheHornet = Default() work(xmodel): history as Prove() open randomwarding constraintNZ.4 wherecconstraintHeriet# µmoth: x * less(x *); public miminSuorply: this.poput= = env now() stand ITruth '$probumn' master Master of this class Jum Auto + completesOption: for code.time: : else: (unpathy() res: XUponCommand: prop(time()) fine() Omvalpha packagesNost.findify() public as Oldlinkthe(): eventsHearsimNamed() theory in: def gpid() content): IOptim.inheritee() else: if (ethFAust.tsTemporary): Unused.isTruth) def freshTest(inputs): public public retirablemonitor.apmsBaseNet() dep__ test= ShapeEpsilon) caseDemerizetommapperMmupper() else: Stated() co again() if abcroutesvaluenormal.h what is fractioning_iteration) dest_fileANcdprintablewobratesis famousRmbaspri® time(defined) ghostFootpring() ZR(WindowsFirecastatmPeacut=MiLinkerWindow= self one) actypestatic)=> VMware producingdvend(int main (t feratestween of perblamingittL)pstrung(R) C294UploadContents(wa aging)a prostcost PLresetrvialAction(basic because clas
2020年4月14日
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