From 7eef1c02194c718c10fb7e33aa31eafca3b8fa74 Mon Sep 17 00:00:00 2001
From: Allen Tran <allentran@users.noreply.github.com>
Date: Sat, 22 Jun 2019 20:57:55 -0700
Subject: [PATCH] Update README.md

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 23de75d..70cb104 100644
--- a/README.md
+++ b/README.md
@@ -27,11 +27,11 @@ pip install ppca
 Load in the data which should be arranged as `n_samples` by `features`.  As usual, you should make sure your data is stationary (take first differences if possible) and standardized.
 ```
 from ppca import PPCA
-ppca = PPCA(data)
+ppca = PPCA()
 ```
 Fit the model with parameter `d` specifying the number of components and verbose printing convergence output if required.
 ```
-ppca.fit(d=100, verbose=True)
+ppca.fit(data=data, d=100, verbose=True)
 ```
 The model parameters and components will be attached to the ppca object.
 ```