Compile errors on master

pranasblk commented 8 years ago

e.g unfinished code:

    trait PipeOperator[T, U] extends _FCT[T, U] {
    val 
        def |> : PartialFunction[T, U]
    }

Some of compile errors:

Error:(139, 3) illegal start of simple pattern
        def |> : PartialFunction[T, U]
        ^

Error:(140, 2) '=' expected but '}' found.
    }
    ^

prnicolas commented 8 years ago

Oops.. a typo the trait should be defined as trait PipeOperator[T, U] extends _FCT[T, U] { def |> : PartialFunction[T, U] }

A new version of the library with very significant changes will be available late next week, including the concept of Monadic Data transformation with explicit model/configuration for filtering, unsupervised learning, Monadic transformation with implicit model for supervised and reinforcement learning and monadic kernel functions. The README.md file lists the upcoming changes... The second edition of the book with 80 new pages should be available early November.

andrewcz commented 8 years ago

would deep learning be availible in the new book. ᐧ

On Sat, Oct 17, 2015 at 12:10 PM, Patrick Nicolas notifications@github.com wrote:

Oops.. a typo the trait should be defined as trait PipeOperator[T, U] extends _FCT[T, U] { def |> : PartialFunction[T, U] }

A new version of the library with very significant changes will be available late next week, including the concept of Monadic Data transformation with explicit model/configuration for filtering, unsupervised learning, Monadic transformation with implicit model for supervised and reinforcement learning and monadic kernel functions. The README.md file lists the upcoming changes... The second edition of the book with 80 new pages should be available early November.

— Reply to this email directly or view it on GitHub https://github.com/prnicolas/ScalaMl/issues/7#issuecomment-148873594.

andrewcz commented 8 years ago

apologies but would deep learning algorithms be available in the new book. Many thanks, Best Regards, Andrew ᐧ

On Sat, Oct 17, 2015 at 12:10 PM, Patrick Nicolas notifications@github.com wrote:

Oops.. a typo the trait should be defined as trait PipeOperator[T, U] extends _FCT[T, U] { def |> : PartialFunction[T, U] }

A new version of the library with very significant changes will be available late next week, including the concept of Monadic Data transformation with explicit model/configuration for filtering, unsupervised learning, Monadic transformation with implicit model for supervised and reinforcement learning and monadic kernel functions. The README.md file lists the upcoming changes... The second edition of the book with 80 new pages should be available early November.

— Reply to this email directly or view it on GitHub https://github.com/prnicolas/ScalaMl/issues/7#issuecomment-148873594.

prnicolas commented 8 years ago

There a section introducing convoluted neural network toward the end of Chapter 9 but without Scala code... The revised version should be available free for those who bought the book online

Patrick Nicolas

http://patricknicolas.blogspot.com Scala for Machine Learning Sent from my iPhone ...

On Oct 16, 2015, at 7:27 PM, andrewcz notifications@github.com wrote:

apologies but would deep learning algorithms be available in the new book. Many thanks, Best Regards, Andrew ᐧ

On Sat, Oct 17, 2015 at 12:10 PM, Patrick Nicolas notifications@github.com wrote:

Oops.. a typo the trait should be defined as trait PipeOperator[T, U] extends _FCT[T, U] { def |> : PartialFunction[T, U] }

A new version of the library with very significant changes will be available late next week, including the concept of Monadic Data transformation with explicit model/configuration for filtering, unsupervised learning, Monadic transformation with implicit model for supervised and reinforcement learning and monadic kernel functions. The README.md file lists the upcoming changes... The second edition of the book with 80 new pages should be available early November.

— Reply to this email directly or view it on GitHub https://github.com/prnicolas/ScalaMl/issues/7#issuecomment-148873594.

— Reply to this email directly or view it on GitHub.