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//! The module contains functions, structs, enums, and traits
//! for input/output neural networks. E. g. it can save network
//! to the file and then loads it back.
//!
//! # Example
//! Saving of neural network:
//!
//! ```rust
//! use neuroflow::FeedForward;
//! use neuroflow::io;
//!
//! let mut nn = FeedForward::new(&[2, 2, 1]);
//! /* train here your neural network */
//! io::save(&mut nn, "test.flow");
//! ```
//!
//! Restoring of neural network:
//!
//! ```rust
//! use neuroflow::FeedForward;
//! use neuroflow::io;
//!
//! let mut new_nn: FeedForward = io::load("test.nn")
//! .unwrap_or(FeedForward::new(&[2, 2, 1]));
//! ```
use File;
use ;
use serde;
use serde_json;
use ;
use Transform;
use ErrorKind;
/// Saves given neural network to file specified by `file_path`.
///
/// * `obj: &T` - link on neural network;
/// * `file_path: &str` - path to the file.
/// * `return -> Result<(), IOError>` - result of operation;
///
/// # Examples
///
/// ```rust
/// use neuroflow::FeedForward;
/// use neuroflow::io;
///
/// let mut nn = FeedForward::new(&[2, 2, 1]);
/// /* train here your neural network */
/// io::save(&mut nn, "test.flow");
/// ```
/// Loads and restores the neural network from file.
///
/// * `file_path: &'b str` - path to the file;
/// * `return -> Result<T, IOError>` - if Ok returns loaded neural network (Note, you must
/// apparently specify the type T).
///
/// # Examples
///
/// ```rust
/// use neuroflow::FeedForward;
/// use neuroflow::io;
///
/// let mut new_nn: FeedForward = io::load("test.flow")
/// .unwrap_or(FeedForward::new(&[2, 2, 1]));
/// ```
/// Future function for saving in JSON string.
/// return: JSON string