NNExperiments/src/nn/util/losses.nim

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Nim

# Copyright 2022 Mattia Giambirtone & All Contributors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import std/math
# Mean squared error
func mse*(x, y: float): float = pow(x - y, 2)
type Loss* = ref object
function*: proc (x, y: float): float
derivative*: proc (x, y: float): float
proc newLoss*(function: proc (x, y: float): float, derivative: proc (x, y: float): float): Loss =
## Creates a new activation object
new(result)
result.function = function
result.derivative = derivative