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Expand Up @@ -72,7 +72,7 @@ The function accepts the following arguments:
- **x**: input value.
- **e**: insensitivity parameter.
- **y**: true target value.
- **p**: predicted value.
- **p**: predicted value.

If any argument is `NaN`, the function returns `NaN`.

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2 changes: 2 additions & 0 deletions lib/node_modules/@stdlib/os/platform/README.md
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Expand Up @@ -49,10 +49,12 @@ console.log( PLATFORM );

- The following values are possible:

- `'aix'`
- `'win32'`
- `'darwin'`
- `'linux'`
- `'freebsd'`
- `'openbsd'`
- `'sunos'`

</section>
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Expand Up @@ -116,7 +116,7 @@ var opts = {
var mu = uniform( 10, -5.0, 5.0, opts );
var sigma = uniform( 10, 0.1, 20.0, opts );

logEachMap( 'µ: %lf, σ: %lf, mode(X;µ,σ): %lf', mu, sigma, mode );
logEachMap( 'μ: %lf, σ: %lf, mode(X;μ,σ): %lf', mu, sigma, mode );
```

</section>
Expand Down Expand Up @@ -205,7 +205,7 @@ int main( void ) {
mu = random_uniform( -5.0, 5.0 );
sigma = random_uniform( 0.1, 20.0 );
y = stdlib_base_dists_anglit_mode( mu, sigma );
printf( "µ: %lf, σ: %lf, mode(X;µ,σ): %lf\n", mu, sigma, y );
printf( "μ: %lf, σ: %lf, mode(X;μ,σ): %lf\n", mu, sigma, y );
}
}
```
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Expand Up @@ -35,6 +35,6 @@ int main( void ) {
mu = random_uniform( -5.0, 5.0 );
sigma = random_uniform( 0.1, 20.0 );
y = stdlib_base_dists_anglit_mode( mu, sigma );
printf( "µ: %lf, σ: %lf, mode(X;µ,σ): %lf\n", mu, sigma, y );
printf( "μ: %lf, σ: %lf, mode(X;μ,σ): %lf\n", mu, sigma, y );
}
}
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Expand Up @@ -28,4 +28,4 @@ var opts = {
var mu = uniform( 10, -5.0, 5.0, opts );
var sigma = uniform( 10, 0.1, 20.0, opts );

logEachMap( 'µ: %lf, σ: %lf, mode(X;µ,σ): %lf', mu, sigma, mode );
logEachMap( 'μ: %lf, σ: %lf, mode(X;μ,σ): %lf', mu, sigma, mode );
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Expand Up @@ -35,9 +35,9 @@

// MODULES //

var mode = require( './main.js' );
var main = require( './main.js' );


// EXPORTS //

module.exports = mode;
module.exports = main;
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/incr/nanmhmean/README.md
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Expand Up @@ -61,7 +61,7 @@ var accumulator = incrnanmhmean( 3 );

#### accumulator( \[x] )

If provided an input value `x`, the accumulator function returns an updated [harmonic mean][harmonic-mean], ignoring `NaN` values. If not provided an input value `x`, the accumulator function returns the current [harmonic-mean][harmonic-mean].
If provided an input value `x`, the accumulator function returns an updated [harmonic mean][harmonic-mean], ignoring `NaN` values. If not provided an input value `x`, the accumulator function returns the current [harmonic mean][harmonic-mean].

```javascript
var accumulator = incrnanmhmean( 3 );
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