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Trained_networks/model_1/FlowTestMask.pt

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Trained_networks/model_1/cfg.yaml

@@ -1,4 +1,4 @@
-BASE_PATH: ~/Migration_flows
+BASE_PATH: ~/Projects/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -81,10 +85,10 @@ Training:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
-  clip_grad_norm: false
+  clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_2
+path_note: model_1

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Trained_networks/model_10/FlowTestMask.pt

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Trained_networks/model_10/cfg.yaml

@@ -1,4 +1,4 @@
-BASE_PATH: ~/Projects/Migration_flows
+BASE_PATH: ~/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -79,16 +79,16 @@ NeuralNet:
 Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
-  N_epochs: 50000
-  Random_sample_size: 70000
+  N_epochs: 100000
+  Random_sample_size: 100000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
   clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_14
+path_note: model_10

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Trained_networks/model_11/FlowTestMask.pt

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Trained_networks/model_11/cfg.yaml

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-BASE_PATH: ~/Projects/Migration_flows
+BASE_PATH: ~/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -79,16 +79,16 @@ NeuralNet:
 Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
-  N_epochs: 50000
-  Random_sample_size: 70000
+  N_epochs: 100000
+  Random_sample_size: 100000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
   clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_15
+path_note: model_11

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Trained_networks/model_12/FlowTestMask.pt

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Trained_networks/model_12/cfg.yaml

@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -76,15 +80,15 @@ Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
   N_epochs: 100000
-  Random_sample_size: 70000
+  Random_sample_size: 100000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
   clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_16
+path_note: model_12

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Trained_networks/model_13/cfg.yaml

@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -76,15 +80,15 @@ Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
   N_epochs: 100000
-  Random_sample_size: 70000
+  Random_sample_size: 100000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
   clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_18
+path_note: model_13

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Trained_networks/model_14/cfg.yaml

@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -76,15 +80,15 @@ Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
   N_epochs: 100000
-  Random_sample_size: 70000
+  Random_sample_size: 100000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
   clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_19
+path_note: model_14

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   clip_grad_norm: 1.0
   flow_test_frac: 0.0
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+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
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 device: cuda
 dry_run: false

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@@ -1,4 +1,4 @@
-BASE_PATH: ~/Migration_flows
+BASE_PATH: ~/Projects/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -81,10 +85,10 @@ Training:
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     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
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+  clip_grad_norm: 1.0
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 device: cuda
 dry_run: false
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Trained_networks/model_3/cfg.yaml

@@ -1,4 +1,4 @@
-BASE_PATH: ~/Migration_flows
+BASE_PATH: ~/Projects/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -56,8 +56,12 @@ Data_loading:
       path: input_covariates/EU
   data_path: Data/Training_data
   data_rescale: 1000.0
-  load_args: {}
+  load_args: {weights_only: true}
   load_from_dir: null
+  targets: {flow: flow, flow_mask: flow_mask, flow_weights: flow_weights, net_migration: net_migration,
+    net_migration_mask: net_migration_mask, net_migration_weights: net_migration_weights,
+    stock_diff: stock_diff, stock_diff_mask: stock_diff_mask, stock_diff_weights: stock_diff_weights,
+    stock_range: stock_range, stocks: stock}
 NeuralNet:
   activation_funcs:
     default: tanh
@@ -81,10 +85,10 @@ Training:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
-  clip_grad_norm: false
+  clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: model_4
+path_note: model_3

Trained_networks/model_3/loss_dict.pickle

@@ -1,3 +1,3 @@
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 size 8471969

Trained_networks/model_3/model_trained.pt

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Trained_networks/model_3/optim.pt

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Trained_networks/model_4/FlowTestMask.pt

@@ -1,3 +1,3 @@
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Trained_networks/model_4/cfg.yaml

@@ -1,4 +1,4 @@
-BASE_PATH: ~/Migration_flows
+BASE_PATH: ~/Projects/Migration_flows
 Data_loading:
   covariates:
   - GDP_cap:
@@ -80,16 +80,15 @@ Training:
   Batch_size: 7
   Confidence_band: {flow: 0.01, net_migration: 0.01, stock: 0.01}
   N_epochs: 100000
-  Random_sample_size: 100000
+  Random_sample_size: 70000
   Rescaling:
     flow: {lmbda: 0.5}
     net_migration: {lmbda: 0.5}
     stock: {lmbda: 0.5}
-  clip_grad_norm: false
+  clip_grad_norm: 1.0
   flow_test_frac: 0.0
-  weight_factors: {flow: 1, net_migration: 1, regulariser: 0, stock: 1}
+  weight_factors: {flow: 1, net_migration: 1, regulariser: 0.1, stock: 1}
   write_every: 10
 device: cuda
 dry_run: false
-path_note: with_QSFN
-seed: 10
+path_note: model_4

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