linear_regress_kt_5.kt

fun fit ( x : Array<DoubleArray> , y: DoubleArray , epochs : Int , batchSize: Int ) {
    val batches = batch( x , y , batchSize )
    for ( e in 0 until epochs ) {
        for ( batch in batches ) {
            val gradients = ArrayList<Array<Any>>()
            for ( pair in batch ) {
                val predictions = forwardPropogate( pair.first )
                gradients.add( calculateGradients( pair.first , predictions , pair.second ) )
            }
            optimizeParameters( gradients , 0.001 )
        }
    }
}