ManyUntypedSeries
public struct ManyUntypedSeries : DataSeries
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Declaration
Swift
public typealias Element = [AnyObject]
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Declaration
Swift
public func makeIterator() -> DataSeriesIterator<ManyUntypedSeries>
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Declaration
Swift
public func prefetch(_ i: Int, streamContext: StreamContext?)
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Declaration
Swift
public func next(_ streamContext: StreamContext?) -> [AnyObject]?
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Declaration
Swift
public var underestmiatedCount: Int { get }
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Declaration
Swift
public let count: Int
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Combine tensors into one tensor. This is useful for GPU batching.
Declaration
Swift
public func combine(size: Int, repeating: Int? = nil) -> DataFrame
Parameters
size
How many tensors to group together.
repeating
How many new columns to be created.
Return Value
A new dataframe with combined tensors.
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Declaration
Swift
public func toGPU(_ ordinal: Int = 0) -> DataFrame.ManyUntypedSeriesTensorResult
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Sample existing columns to create a new dataframe.
Declaration
Swift
public func sample<C0, C1, U0, U1>( size: Int, repeating: Int? = nil, sampler: @escaping ([(C0, C1)]) -> (U0, U1) ) -> DataFrame
Parameters
size
How many rows to be sampled together.
repeating
Will we repeat the sampling to create more columns?
sampler
The sampling function, for example, averaging, max, first, last etc.
Return Value
A new dataframe.
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Sample existing columns to create a new dataframe.
Declaration
Swift
public func sample<C0, C1, C2, U0, U1, U2>( size: Int, repeating: Int? = nil, sampler: @escaping ([(C0, C1, C2)]) -> (U0, U1, U2) ) -> DataFrame
Parameters
size
How many rows to be sampled together.
repeating
Will we repeat the sampling to create more columns?
sampler
The sampling function, for example, averaging, max, first, last etc.
Return Value
A new dataframe.
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Sample existing columns to create a new dataframe.
Declaration
Swift
public func sample<C0, C1, C2, C3, U0, U1, U2, U3>( size: Int, repeating: Int? = nil, sampler: @escaping ([(C0, C1, C2, C3)]) -> (U0, U1, U2, U3) ) -> DataFrame
Parameters
size
How many rows to be sampled together.
repeating
Will we repeat the sampling to create more columns?
sampler
The sampling function, for example, averaging, max, first, last etc.
Return Value
A new dataframe.
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, U>(_ mapper: @escaping (C0, C1) -> U) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, U>(_ mapper: @escaping (C0, C1, C2) -> U) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, U>(_ mapper: @escaping (C0, C1, C2, C3) -> U) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, U>(_ mapper: @escaping (C0, C1, C2, C3, C4) -> U) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, C5, U>(_ mapper: @escaping (C0, C1, C2, C3, C4, C5) -> U) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, C5, C6, U>( _ mapper: @escaping (C0, C1, C2, C3, C4, C5, C6) -> U ) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, C5, C6, C7, U>( _ mapper: @escaping (C0, C1, C2, C3, C4, C5, C6, C7) -> U ) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, C5, C6, C7, C8, U>( _ mapper: @escaping (C0, C1, C2, C3, C4, C5, C6, C7, C8) -> U ) -> DataFrame.UntypedSeries
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Create a new column by applying some transformations on some existing columns.
Declaration
Swift
public func map<C0, C1, C2, C3, C4, C5, C6, C7, C8, C9, U>( _ mapper: @escaping (C0, C1, C2, C3, C4, C5, C6, C7, C8, C9) -> U ) -> DataFrame.UntypedSeries