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Drhuffman12/cmn basic rnn part 6 (#54)
* drhuffman12/cmn_basic_rnn_part_6 comment out RnnConcerns::TrainInSequence while I refactor RnnConcerns::SplitTrainingDat * drhuffman12/cmn_basic_rnn_part_6 refactor RnnConcerns::SplitTrainingDat * drhuffman12/cmn_basic_rnn_part_6 replace '#split_for_training' with '#indexes_for_training_and_eval' and 'TrainingData' with 'TrainingIndexes' * unset ameba version * set ameba to master branch * disable ameba (for now) * disable ameba (for now) * disable ameba * drhuffman12/cmn_basic_rnn_part_6 reorg RNN related under `Ai4cr::NeuralNetwork::Rnn` * drhuffman12/cmn_basic_rnn_part_6 reorg RNN related under `Ai4cr::NeuralNetwork::Rnn` * drhuffman12/cmn_basic_rnn_part_6 code cleanup * drhuffman12/cmn_basic_rnn_part_6 try to force full docker rebuild * drhuffman12/cmn_basic_rnn_part_6 try to force full docker rebuild * drhuffman12/cmn_basic_rnn_part_6 adjust version/branch of ascii_bar_charter * drhuffman12/cmn_basic_rnn_part_6 reorg CI steps (so can see Crystal version) * drhuffman12/cmn_basic_rnn_part_6 shuffle dependencies * drhuffman12/cmn_basic_rnn_part_6 shuffle dependencies * drhuffman12/cmn_basic_rnn_part_6 Cleanup requires * drhuffman12/cmn_basic_rnn_part_6 refactoring re error_distance and related * drhuffman12/cmn_basic_rnn_part_6 refactoring re error_distance and related (part 2) * drhuffman12/cmn_basic_rnn_part_6 refactoring re error_distance and related (part 3) * drhuffman12/cmn_basic_rnn_part_6 refactoring re error_distance and related (part 4) * drhuffman12/cmn_basic_rnn_part_6 refactoring re error_distance and related (part 5) * drhuffman12/cmn_basic_rnn_part_6 error_distance should decrease each training round * drhuffman12/cmn_basic_rnn_part_6 add CalcAndGuess for RnnSimpleTeam * drhuffman12/cmn_basic_rnn_part_6 inital code and tests for RnnSimpleTeamConcerns::TrainAndAdjust * drhuffman12/cmn_basic_rnn_part_6 comment out 'debug_msg' * drhuffman12/cmn_basic_rnn_part_6 add BreedUtils and Breeder * drhuffman12/cmn_basic_rnn_part_6 formatting * drhuffman12/cmn_basic_rnn_part_6 comment out test for Ai4cr::NeuralNetwork::Rnn::RnnSimpleConcerns::TrainAndAdjust till that is refactored w/ Breeder * drhuffman12/cmn_basic_rnn_part_6 refactor; remove RnnSimpleTeam (take a diff approach in later PR) * drhuffman12/cmn_basic_rnn_part_6 bump version
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,3 +1,4 @@ | ||
| # FROM crystallang/crystal:nightly-build | ||
| FROM crystallang/crystal:nightly-alpine-build | ||
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| WORKDIR /app | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,146 @@ | ||
| require "./../spec_helper" | ||
| require "./../spectator_helper" | ||
| require "./../../src/ai4cr/breed_utils.cr" | ||
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| # class Breeder | ||
| # include Ai4cr::BreedUtils | ||
| # end | ||
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| Spectator.describe Ai4cr::BreedUtils do | ||
| let(parents1) { (-10..0).to_a.map { |i| i/10.0 } } | ||
| let(parents2) { (0..10).to_a.map { |i| i/10.0 } } | ||
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| let(breeder) { | ||
| Ai4cr::Breeder.new | ||
| } | ||
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| # before(:each) do | ||
| # include Ai4cr::BreedUtils | ||
| # end | ||
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| describe "breed_value" do | ||
| let(parent_a) { 0.0 } | ||
| let(parent_b) { 1.0 } | ||
| let(p_dist) { 1.0 * (parent_b - parent_a) } | ||
| let(c_min) { parent_a - 0.5 } | ||
| let(c_max) { parent_a + 2 * p_dist - 0.5 } | ||
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| context "debug" do | ||
| it "p_dist" do | ||
| expect(p_dist).to eq(1.0) | ||
| end | ||
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| it "c_min" do | ||
| expect(c_min).to eq(-0.5) | ||
| end | ||
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| it "c_max" do | ||
| expect(c_max).to eq(1.5) | ||
| end | ||
| end | ||
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| context "returns" do | ||
| it "a Float64" do | ||
| child = breeder.breed_value(0, 1) | ||
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| expect(child).to be_a(Float64) | ||
| end | ||
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| context "between" do | ||
| it "expected 'min'" do | ||
| child = breeder.breed_value(0, 1) | ||
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| expect(child).to be >= c_min | ||
| end | ||
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| it "expected 'max'" do | ||
| child = breeder.breed_value(0, 1) | ||
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| expect(c_max).to be >= child | ||
| end | ||
| end | ||
| end | ||
| end | ||
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| describe "breed_nested" do | ||
| context "given two Int32 values" do | ||
| let(parent_a) { 0 } | ||
| let(parent_b) { 1 } | ||
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| it "does not raise" do | ||
| expect { | ||
| breeder.breed_nested(parent_a, parent_b) | ||
| }.not_to raise_error | ||
| end | ||
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| context "returns" do | ||
| it "a Float64" do | ||
| child = breeder.breed_nested(parent_a, parent_b) | ||
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| expect(child).to be_a(Float64) | ||
| end | ||
| end | ||
| end | ||
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| context "given two Float64 values" do | ||
| let(parent_a) { 0.0 } | ||
| let(parent_b) { 1.0 } | ||
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| it "does not raise" do | ||
| expect { | ||
| breeder.breed_nested(parent_a, parent_b) | ||
| }.not_to raise_error | ||
| end | ||
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| context "returns" do | ||
| it "a Float64" do | ||
| child = breeder.breed_nested(parent_a, parent_b) | ||
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| expect(child).to be_a(Float64) | ||
| end | ||
| end | ||
| end | ||
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| context "given two Array(Float64) values" do | ||
| let(parent_a) { [0.0, 0.1] } | ||
| let(parent_b) { [0.9, 1.0] } | ||
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| it "does not raise" do | ||
| expect { | ||
| breeder.breed_nested(parent_a, parent_b) | ||
| }.not_to raise_error | ||
| end | ||
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| context "returns" do | ||
| it "a Float64" do | ||
| child = breeder.breed_nested(parent_a, parent_b) | ||
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| expect(child).to be_a(Array(Float64)) | ||
| end | ||
| end | ||
| end | ||
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| # context "given two Hash(String, Float64) values" do | ||
| # let(parent_a) { | ||
| # Hash{"zero" => 0.0} | ||
| # } | ||
| # let(parent_b) { | ||
| # Hash{"one" => 1.0} | ||
| # } | ||
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| # it "does not raise" do | ||
| # expect { | ||
| # breeder.breed_nested(parent_a, parent_b) | ||
| # }.not_to raise_error | ||
| # end | ||
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| # context "returns" do | ||
| # it "a Float64" do | ||
| # child = breeder.breed_nested(parent_a, parent_b) | ||
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| # expect(child).to be_a(parent_a.class) | ||
| # end | ||
| # end | ||
| # end | ||
| end | ||
| end |
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