## Experiments for training parameter comparison
# REG FULL UBAL H5 OPT INTER DRP0
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG FULL UBAL H5 SAT INIT DRP0
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_sigmoid_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=.uniform.sat.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

>>>>>
# REG NS UBAL OPT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=False,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_ubal_h5_sigmoid_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL OPT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS UBAL SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=False,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_ubal_h5_sigmoid_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS UBAL GEN SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=False,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_ubal_h5_sigmoid_init_gen_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields hplan current_state goals --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 13GB --dry

# REG NS BAL GEN SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 13GB --dry

# REG NS UBAL GEN SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=False,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_ubal_h5_sigmoid_init_gen_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields current_state hplan goals --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL GEN SAT INIT DRP0 TRANSPORT_VAR
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --dry


./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=relu,dropout=0,hidden_layer_size=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_relu_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry

./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=relu,dropout=0,hidden_layer_size=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_relu_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry

./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0,hidden_layer_size=-1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hlsfix_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry

./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0,hidden_layer_size=-1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hlsfix_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry

# REG NS BAL LINEAR OPT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=linear,dropout=0,hidden_layer_size=0,hidden_layers_by_dependencies=1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_linear_hld1_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields hplan current_state goals --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL LINEAR SAT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=linear,dropout=0,hidden_layer_size=0,hidden_layers_by_dependencies=1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_linear_hld1_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields hplan goals current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL LINEAR GEN OPT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=linear,dropout=0,hidden_layer_size=0,hidden_layers_by_dependencies=1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_linear_hld1_init_gen_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL LINEAR GEN SAT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
reg_ns_bal_h5_sigmoid_hld1_init_opt_drp0./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=linear,dropout=0,hidden_layer_size=0,hidden_layers_by_dependencies=1,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_linear_hld1_init_gen_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry
@previous submitted

# REG NS BAL SIGMOID OPT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=1,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1_init_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads -sdt --input "gzip(suffix=.uniform.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields hplan current_state goals --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL SIGMOID SAT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=1,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1_init_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads -sdt --input "gzip(suffix=.uniform.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields hplan goals current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL SIGMOID GEN OPT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=1,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1_init_gen_opt_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# REG NS BAL SIGMOID GEN SAT INIT DRP0 TRANSPORT_VAR DEPENDENCIES
./fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=1,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1_init_gen_sat_drp0_ -d ../DeePDown/data/FixedWorlds/opt/transport_var_roads/ -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry




REG NS BAL SIGMOID GEN OPT INIT HLD1D2 DRP0 FIXGOALS
../fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=2,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1d2_init_gen_opt_drp0_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

REG NS BAL SIGMOID GEN SAT INIT HLD1D2 DRP0 FIXGOALS
../fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=2,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1d2_init_gen_sat_drp0_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

REG NS BAL SIGMOID GEN OPT INIT HLD1D2 DRP25 FIXGOALS
../fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=2,output_units=-1,activation=sigmoid,dropout=0.25,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1d2_init_gen_opt_drp25_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

REG NS BAL SIGMOID GEN SAT INIT HLD1D2 DRP25 FIXGOALS
../fast-training.py "keras_dep_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dependency=pre_post,dense_layers=2,output_units=-1,activation=sigmoid,dropout=0.25,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_hld1d2_init_gen_sat_drp25_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 --domain-properties --maximum-data-memory 12GB --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training-15gb.sh" -o -n model --fields goals current_state hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry



REG NS SIGMOID GEN OPT H5 DRP0 FIX GOALS
../fast-training.py "keras_adp_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_opt_drp0_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry


REG NS SIGMOID GEN SAT H5 DRP0 FIX GOALS
../fast-training.py "keras_adp_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_sat_drp0_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry

REG NS SIGMOID GEN OPT H5 DRP25 FIX GOALS
../fast-training.py "keras_adp_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0.25,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_opt_drp25_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.opt.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry


REG NS SIGMOID GEN SAT H5 DRP25 FIX GOALS
../fast-training.py "keras_adp_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=True,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,activation=sigmoid,dropout=0.25,x_fields=[current_state,goals],y_fields=[hplan],formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_bal_h5_sigmoid_init_gen_sat_drp25_ -d ../../DeePDown/data/FixedWorlds/opt/ -df ".*blocksworld_fix.*|.*transport_fix_roads_fix_goals.*" -sdt --input "gzip(suffix=.generator.sat.data.gz)" --format NonStatic_A_01 -dp --slurm --cross-validation 10 -a "--export=ALL ../misc/slurm/slurm-training.sh" -o -n model --fields goals hplan current_state --skip --skip-if-trained --skip-if-flag --skip-if-running --maximum-data-memory 12GB --dry



<<<<<







# REG NS UBAL H5 OPT INTER DRP0
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,loss=mean_squared_error,batch=100,balance=False,optimizer=adam,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True),]),hidden=5,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_ns_ubal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --format NonStatic_A_01 -dp --directory-filter ".*(blocksworld|transport).*" --skip-if-trained --skip-if-flag --skip-if-running --dry


# Balanced
./fast-training.py "keras_dyn_mlp(tparams=ktparams(balance=True,epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_bal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# Data Init
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_sigmoid_init_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-31gb.sh" --input "gzip(suffix=.uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# Base CLASSIFICATION
./fast-training.py "keras_dyn_mlp(tparams=ktparams(loss=categorical_crossentropy,epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-2,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix clas_full_ubal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-31gb.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# Balanced
./fast-training.py "keras_dyn_mlp(tparams=ktparams(balance=True,loss=categorical_crossentropy,epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-2,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix clas_full_bal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-31gb.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry

# Data Init
./fast-training.py "keras_dyn_mlp(tparams=ktparams(loss=categorical_crossentropy,epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-2,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix clas_full_ubal_h5_sigmoid_init_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training-31gb.sh" --input "gzip(suffix=.uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry






# OTHER REGRESSION


./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=15,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h15_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry


./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,activation=relu,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_relu_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry


./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dropout=0.1,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_sigmoid_inter_drp10_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry


./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,dropout=0.3,output_units=-1,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix reg_full_ubal_h5_sigmoid_inter_drp30_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry


## STILL TO RUN
# FIX CLASSIFICATION
./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=5,output_units=-2,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix clas_full_ubal_h5_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry



./fast-training.py "keras_dyn_mlp(tparams=ktparams(epochs=1000,callbacks=[keras_model_checkpoint(val_loss,./checkpoint.ckp),keras_progress_checking(acc,100,0.001,False),keras_early_stopping(val_loss,0.01,100),keras_restart(-1,stop_successful=True),keras_stoptimer(max_time=86400,per_training=False,prevent_reinit=True,timeout_as_failure=True)]),hidden=15,output_units=-2,x_fields=[current_state,goals],y_fields=hplan,formats=[hdf5,protobuf],graphdef=graphdef.txt,count_samples=True)" --prefix clas_full_ubal_h15_sigmoid_inter_drp0_ -d ../DeePDown/data/FixedWorlds/opt -sdt --slurm --cross-validation 10 -a "--export=ALL ./misc/slurm/slurm-training.sh" --input "gzip(suffix=inter_uniform.data.gz)" -o -n model --fields current_state goals hplan --skip --skip-if-trained --skip-if-flag --skip-if-running --dry
