bump DataInterpolations

Author: Vaibhavdixit02

Project.toml

@@ -34,7 +34,7 @@ Boltz = "1"
 ChainRulesCore = "1"
 ComponentArrays = "0.15.17"
 ConcreteStructs = "0.2"
-DataInterpolations = "5, 6"
+DataInterpolations = "6.4"
 DelayDiffEq = "5.47.3"
 DiffEqCallbacks = "3.6.2"
 Distances = "0.10.11"

docs/src/examples/multiple_shooting.md

@@ -86,7 +86,7 @@ group_size = 3
 continuity_term = 200
 
 l1, preds = multiple_shoot(ps, ode_data, tsteps, prob_node, loss_function,
-        Tsit5(), group_size; continuity_term)
+    Tsit5(), group_size; continuity_term)
 
 function loss_function(data, pred)
     return sum(abs2, data - pred)

docs/src/examples/neural_ode.md

@@ -58,7 +58,7 @@ function callback(state, l; doplot = false)
 end
 
 pinit = ComponentArray(p)
-callback((;u = pinit), loss_neuralode(pinit); doplot = true)
+callback((; u = pinit), loss_neuralode(pinit); doplot = true)
 
 # use Optimization.jl to solve the problem
 adtype = Optimization.AutoZygote()
@@ -74,7 +74,7 @@ optprob2 = remake(optprob; u0 = result_neuralode.u)
 result_neuralode2 = Optimization.solve(
     optprob2, Optim.BFGS(; initial_stepnorm = 0.01); callback, allow_f_increases = false)
 
-callback((;u = result_neuralode2.u), loss_neuralode(result_neuralode2.u); doplot = true)
+callback((; u = result_neuralode2.u), loss_neuralode(result_neuralode2.u); doplot = true)
 ```
 
 ![Neural ODE](https://user-images.githubusercontent.com/1814174/88589293-e8207f80-d026-11ea-86e2-8a3feb8252ca.gif)