girisandeep

import org.apache.spark.Partitioner
class TwoPartsPartitioner(override val numPartitions: Int) extends Partitioner {
    def getPartition(key: Any): Int = key match {
        case s: String => {
            if (s(0).toUpper > 'J') 1 else 0
        }   
    }
}

mbollmann

class AttentionLSTM(LSTM):
    """LSTM with attention mechanism

    This is an LSTM incorporating an attention mechanism into its hidden states.
    Currently, the context vector calculated from the attended vector is fed
    into the model's internal states, closely following the model by Xu et al.
    (2016, Sec. 3.1.2), using a soft attention model following
    Bahdanau et al. (2014).

    The layer expects two inputs instead of the usual one:

AaronTheApe

[emacs]
name=Emacs 24.2 repo
baseurl=http://pj.freefaculty.org/EL/6/x86_64/
failovermethod=priority
enabled=1
gpgcheck=1
gpgkey=http://pj.freefaculty.org/EL/PaulJohnson-BinaryPackageSigningKey

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname