Updated the hparams script

Author: JamieMair

examples/HParams.jl

@@ -0,0 +1,38 @@
+using TensorBoardLogger #import the TensorBoardLogger package
+using Logging #import Logging package
+using Random # Exports randn
+
+# Run 10 experiments to see a plot
+for j in 1:10
+    logger = TBLogger("random_walks/run$j", tb_append)
+
+    sigma = 0.05
+    epochs = 50
+    bias = (rand()*2 - 1) # create a random bias
+    use_seed = false
+    # Add in the a dummy loss metric
+    with_logger(logger) do
+        x = 0.0
+        for i in 1:epochs
+            x += sigma * randn() + bias
+            @info "scalar" loss = x
+        end
+    end
+
+    # Hyperparameter is a dictionary of parameter names to their values. This 
+    # supports numerical types, bools and strings. Non-bool numerical types 
+    # are converted to Float64 to be displayed.
+    hparams_config = Dict{String, Any}(
+        "sigma"=>sigma,
+        "epochs"=>epochs,
+        "bias"=>bias,
+        "use_seed"=>use_seed,
+        "method"=>"MC"
+    )
+    # Specify a list of tags that you want to show up in the hyperparameter 
+    # comparison
+    metrics = ["scalar/loss"]
+    
+    # Write the hyperparameters and metrics config to the logger.
+    write_hparams!(logger, hparams_config, metrics)
+end